-
1
-
-
85014622104
-
UAS, sensors, and data processing in agroforestry: A review towards practical applications
-
Pádua, L.; Vanko, J.; Hruška, J.; Adão, T.; Sousa, J.J.; Peres, E.; Morais, R. UAS, sensors, and data processing in agroforestry: A review towards practical applications. Int. J. Remote Sens. 2017, 38, 2349-2391
-
(2017)
Int. J. Remote Sens
, vol.38
, pp. 2349-2391
-
-
Pádua, L.1
Vanko, J.2
Hruška, J.3
Adão, T.4
Sousa, J.J.5
Peres, E.6
Morais, R.7
-
2
-
-
85080894074
-
Estimation of crop water stress in a nectarine orchard using high-resolution imagery from unmanned aerial vehicle (UAV)
-
Gold Coast, Australia, 29 November-4 December
-
Park, S.; Nolan, A.; Ryu, D.; Fuentes, S.; Hernandez, E.; Chung, H.; O'Connell, M. Estimation of crop water stress in a nectarine orchard using high-resolution imagery from unmanned aerial vehicle (UAV). In Proceedings of the 21st International Congress on Modelling and Simulation, Gold Coast, Australia, 29 November-4 December 2015; pp. 1413-1419
-
(2015)
Proceedings of the 21st International Congress on Modelling and Simulation
, pp. 1413-1419
-
-
Park, S.1
Nolan, A.2
Ryu, D.3
Fuentes, S.4
Hernandez, E.5
Chung, H.6
O'Connell, M.7
-
3
-
-
84863436949
-
A flexible unmanned aerial vehicle for precision agriculture
-
Primicerio, J.; Gennaro, S.F. D.; Fiorillo, E.; Genesio, L.; Lugato, E.; Matese, A.; Vaccari, F.P. A flexible unmanned aerial vehicle for precision agriculture. Precis. Agric. 2012, 13, 517-523
-
(2012)
Precis. Agric
, vol.13
, pp. 517-523
-
-
Primicerio, J.1
Gennaro, S.F.D.2
Fiorillo, E.3
Genesio, L.4
Lugato, E.5
Matese, A.6
Vaccari, F.P.7
-
4
-
-
84939454114
-
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
-
Bendig, J.; Yu, K.; Aasen, H.; Bolten, A.; Bennertz, S.; Broscheit, J.; Gnyp, M.L.; Bareth, G. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. Int. J. Appl. Earth Obs. Geoinf. 2015, 39, 79-87
-
(2015)
Int. J. Appl. Earth Obs. Geoinf
, vol.39
, pp. 79-87
-
-
Bendig, J.1
Yu, K.2
Aasen, H.3
Bolten, A.4
Bennertz, S.5
Broscheit, J.6
Gnyp, M.L.7
Bareth, G.8
-
5
-
-
84930019319
-
Early Detection and Quantification of VerticilliumWilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas
-
Calderón, R.; Navas-Cortés, J.A.; Zarco-Tejada, P.J. Early Detection and Quantification of VerticilliumWilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas. Remote Sens. 2015, 7, 5584-5610
-
(2015)
Remote Sens
, vol.7
, pp. 5584-5610
-
-
Calderón, R.1
Navas-Cortés, J.A.2
Zarco-Tejada, P.J.3
-
6
-
-
84863859442
-
Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles
-
Getzin, S.; Wiegand, K.; Schöning, I. Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles. Methods Ecol. Evol. 2012, 3, 397-404
-
(2012)
Methods Ecol. Evol
, vol.3
, pp. 397-404
-
-
Getzin, S.1
Wiegand, K.2
Schöning, I.3
-
7
-
-
84855440964
-
An Unmanned Aircraft System for Automatic Forest Fire Monitoring and Measurement
-
Merino, L.; Caballero, F.; Martínez-de-Dios, J.R.; Maza, I.; Ollero, A. An Unmanned Aircraft System for Automatic Forest Fire Monitoring and Measurement. J. Intell. Robot. Syst. 2012, 65, 533-548
-
(2012)
J. Intell. Robot. Syst
, vol.65
, pp. 533-548
-
-
Merino, L.1
Caballero, F.2
Martínez-de-Dios, J.R.3
Maza, I.4
Ollero, A.5
-
8
-
-
84959371528
-
Uav-Borne Thermal Imaging for Forest Health Monitoring: Detection of Disease-Induced Canopy Temperature Increase
-
Smigaj, M.; Gaulton, R.; Barr, S.L.; Suárez, J.C. Uav-Borne Thermal Imaging for Forest Health Monitoring: Detection of Disease-Induced Canopy Temperature Increase. ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2015, XL-3/W3, 349-354
-
(2015)
ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci
, vol.40
, Issue.3 W3
, pp. 349-354
-
-
Smigaj, M.1
Gaulton, R.2
Barr, S.L.3
Suárez, J.C.4
-
9
-
-
33947163626
-
Unmanned aerial vehicles: Applications for natural resource management and monitoring
-
The Interface", Hot Springs, AR, Canada, 27-30 April
-
Horcher, A.; Visser, R.J. Unmanned aerial vehicles: Applications for natural resource management and monitoring. In Proceedings of the 2004 Council on Forest Engineering (COFE) Conference: "Machines and People, The Interface", Hot Springs, AR, Canada, 27-30 April 2004
-
(2004)
Proceedings of the 2004 Council on Forest Engineering (COFE) Conference: "Machines and People
-
-
Horcher, A.1
Visser, R.J.2
-
10
-
-
84155171347
-
Airborne Hyperspectral Remote Sensing
-
Toronto, ON, Canada, 9-12 September
-
Coulter, D.; Hauff, P.L.; Kerby, W.L. Airborne Hyperspectral Remote Sensing. In Proceedings of the Exploration 07: Fifth Decennial International Conference on Mineral Exploration, Toronto, ON, Canada, 9-12 September 2007; pp. 375-386
-
(2007)
Proceedings of the Exploration 07: Fifth Decennial International Conference on Mineral Exploration
, pp. 375-386
-
-
Coulter, D.1
Hauff, P.L.2
Kerby, W.L.3
-
11
-
-
84877757536
-
Hyperspectral and multispectral imaging for evaluating food safety and quality
-
Qin, J.; Chao, K.; Kim, M.S.; Lu, R.; Burks, T.F. Hyperspectral and multispectral imaging for evaluating food safety and quality. J. Food Eng. 2013, 118, 157-171
-
(2013)
J. Food Eng
, vol.118
, pp. 157-171
-
-
Qin, J.1
Chao, K.2
Kim, M.S.3
Lu, R.4
Burks, T.F.5
-
12
-
-
84883754549
-
Hyperspectral Remote Sensing of Vegetation and Agricultural Crops
-
Thenkabail, P.S.; Gumma, M.K.; Teluguntla, P.; Mohammed, I.A. Hyperspectral Remote Sensing of Vegetation and Agricultural Crops. Photogramm. Eng. Remote Sens. 2014, 80, 697-723
-
(2014)
Photogramm. Eng. Remote Sens
, vol.80
, pp. 697-723
-
-
Thenkabail, P.S.1
Gumma, M.K.2
Teluguntla, P.3
Mohammed, I.A.4
-
14
-
-
85034775905
-
-
accessed on 15 September 2017
-
Multispectral vs. Hyperspectral Imagery Explained. Available online: http://gisgeography.com/multispectral-vs-hyperspectral-imagery-explained/(accessed on 15 September 2017)
-
Multispectral vs. Hyperspectral Imagery Explained
-
-
-
15
-
-
84974593878
-
Workflow for Building A Hyperspectral Uav: Challenges And Opportunities
-
Proctor, C.; He, Y. Workflow for Building A Hyperspectral Uav: Challenges And Opportunities. ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2015, XL-1/W4, 415-419
-
(2015)
ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci
, vol.40
, Issue.1 W4
, pp. 415-419
-
-
Proctor, C.1
He, Y.2
-
16
-
-
17644371466
-
Hyperspectral image processing for automatic target detection applications
-
Manolakis, D.; Marden, D.; Shaw, G.A. Hyperspectral image processing for automatic target detection applications. Linc. Lab. J. 2003, 14, 79-116
-
(2003)
Linc. Lab. J
, vol.14
, pp. 79-116
-
-
Manolakis, D.1
Marden, D.2
Shaw, G.A.3
-
17
-
-
85034785768
-
-
accessed on 9 October 2017
-
AVIRIS-Airborne Visible/Infrared Imaging Spectrometer-Imaging Spectroscopy. Available online: https://aviris.jpl.nasa.gov/aviris/imaging_spectroscopy.html (accessed on 9 October 2017)
-
-
-
-
18
-
-
84982689621
-
-
Indian Agricultural Statistics Research Institute: New Delhi, India
-
Sahoo, R. Hyperspectral Remote Sensing (Sahoo's Report); Indian Agricultural Statistics Research Institute: New Delhi, India, 2013; pp. 848-859
-
(2013)
Hyperspectral Remote Sensing (Sahoo's Report)
, pp. 848-859
-
-
Sahoo, R.1
-
19
-
-
67650234021
-
Three decades of hyperspectral remote sensing of the Earth: A personal view
-
Goetz, A.F. H. Three decades of hyperspectral remote sensing of the Earth: A personal view. Remote Sens. Environ. 2009, 113, S5-S16
-
(2009)
Remote Sens. Environ
, vol.113
, pp. S5-S16
-
-
Goetz, A.F.H.1
-
20
-
-
0033381257
-
Remote sensing for mineral exploration
-
Sabins, F.F. Remote sensing for mineral exploration. Ore Geol. Rev. 1999, 14, 157-183
-
(1999)
Ore Geol. Rev
, vol.14
, pp. 157-183
-
-
Sabins, F.F.1
-
21
-
-
10844285618
-
A review of satellite and airborne sensors for remote sensing based detection of minefields and landmines
-
Maathuis, B.H.P.; van Genderen, J.L. A review of satellite and airborne sensors for remote sensing based detection of minefields and landmines. Int. J. Remote Sens. 2004, 25, 5201-5245
-
(2004)
Int. J. Remote Sens
, vol.25
, pp. 5201-5245
-
-
Maathuis, B.H.P.1
van Genderen, J.L.2
-
22
-
-
84883858085
-
A short survey of hyperspectral remote sensing applications in agriculture
-
Istanbul, Turkey, 12-14 June
-
Teke, M.; Deveci, H.S.; Haliloglu, O.; Gürbüz, S.Z.; Sakarya, U. A short survey of hyperspectral remote sensing applications in agriculture. In Proceedings of the 2013 6th International Conference on Recent Advances in Space Technologies (RAST), Istanbul, Turkey, 12-14 June 2013; pp. 171-176
-
(2013)
Proceedings of the 2013 6th International Conference on Recent Advances in Space Technologies (RAST)
, pp. 171-176
-
-
Teke, M.1
Deveci, H.S.2
Haliloglu, O.3
Gürbüz, S.Z.4
Sakarya, U.5
-
25
-
-
84887105216
-
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
-
Mulla, D.J. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps. Biosyst. Eng. 2013, 114, 358-371
-
(2013)
Biosyst. Eng
, vol.114
, pp. 358-371
-
-
Mulla, D.J.1
-
26
-
-
0041732265
-
Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes
-
Datt, B.; McVicar, T.R.; Niel, T.G.V.; Jupp, D.L.B.; Pearlman, J.S. Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1246-1259
-
(2003)
IEEE Trans. Geosci. Remote Sens
, vol.41
, pp. 1246-1259
-
-
Datt, B.1
McVicar, T.R.2
Niel, T.G.V.3
Jupp, D.L.B.4
Pearlman, J.S.5
-
27
-
-
84992418378
-
Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery
-
Moharana, S.; Dutta, S. Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery. ISPRS J. Photogramm. Remote Sens. 2016, 122, 17-29
-
(2016)
ISPRS J. Photogramm. Remote Sens
, vol.122
, pp. 17-29
-
-
Moharana, S.1
Dutta, S.2
-
28
-
-
84975453750
-
Mapping of land cover in northern California with simulated hyperspectral satellite imagery
-
Clark, M.L.; Kilham, N.E. Mapping of land cover in northern California with simulated hyperspectral satellite imagery. ISPRS J. Photogramm. Remote Sens. 2016, 119, 228-245
-
(2016)
ISPRS J. Photogramm. Remote Sens
, vol.119
, pp. 228-245
-
-
Clark, M.L.1
Kilham, N.E.2
-
29
-
-
0036856743
-
Precision agriculture-A worldwide overview
-
Zhang, N.; Wang, M.; Wang, N. Precision agriculture-A worldwide overview. Comput. Electron. Agric. 2002, 36, 113-132
-
(2002)
Comput. Electron. Agric
, vol.36
, pp. 113-132
-
-
Zhang, N.1
Wang, M.2
Wang, N.3
-
30
-
-
84888336317
-
Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV
-
Dresden, Germany, 16 October
-
Pölönen, I.; Saari, H.; Kaivosoja, J.; Honkavaara, E.; Pesonen, L. Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV. In Proceedings of the SPIE Remote Sensing, Dresden, Germany, 16 October 2013
-
(2013)
Proceedings of the SPIE Remote Sensing
-
-
Pölönen, I.1
Saari, H.2
Kaivosoja, J.3
Honkavaara, E.4
Pesonen, L.5
-
31
-
-
85034765079
-
-
accessed on 19 April 2017
-
WorldView-3 WorldView-3 Satellite Sensor|Satellite Imaging Corp. Available online: http://www. satimagingcorp.com/satellite-sensors/worldview-3/(accessed on 19 April 2017)
-
-
-
-
32
-
-
85034744121
-
-
accessed on 19 April 2017
-
ESA Spatial-Resolutions-Sentinel-2 MSI-User Guides-Sentinel Online. Available online: https://earth.esa. int/web/sentinel/user-guides/sentinel-2-msi/resolutions/spatial (accessed on 19 April 2017)
-
-
-
-
33
-
-
85034744359
-
-
accessed on 1 August 2017
-
AVIRIS-Airborne Visible/Infrared Imaging Spectrometer. Available online: https://aviris.jpl.nasa.gov/(accessed on 1 August 2017)
-
-
-
-
34
-
-
84973493588
-
Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
-
Pajares, G. Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs). Photogramm. Eng. Remote Sens. 2015, 81, 281-329
-
(2015)
Photogramm. Eng. Remote Sens
, vol.81
, pp. 281-329
-
-
Pajares, G.1
-
37
-
-
85034746649
-
-
accessed on 1 September 2017
-
Pappalardo, J. Unmanned Aircraft "Roadmap" Reflects Changing Priorities. Available online: http://www.nationaldefensemagazine.org/articles/2005/3/31/2005april-unmanned-aircraft-roadmapreflects-changing-priorities (accessed on 1 September 2017)
-
Unmanned Aircraft "Roadmap" Reflects Changing Priorities
-
-
Pappalardo, J.1
-
38
-
-
84897562134
-
Unmanned aerial systems for photogrammetry and remote sensing: A review
-
Colomina, I.; Molina, P. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2014, 92, 79-97
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.92
, pp. 79-97
-
-
Colomina, I.1
Molina, P.2
-
39
-
-
77950942373
-
Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
-
Bock, C.H.; Poole, G.H.; Parker, P.E.; Gottwald, T.R. Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging. Crit. Rev. Plant Sci. 2010, 29, 59-107
-
(2010)
Crit. Rev. Plant Sci
, vol.29
, pp. 59-107
-
-
Bock, C.H.1
Poole, G.H.2
Parker, P.E.3
Gottwald, T.R.4
-
40
-
-
84874253202
-
Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)
-
Zarco-Tejada, P.J.; Guillén-Climent, M.L.; Hernández-Clemente, R.; Catalina, A.; González, M.R.; Martín, P. Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV). Agric. For. Meteorol. 2013, 171-172, 281-294
-
(2013)
Agric. For. Meteorol
, vol.171-172
, pp. 281-294
-
-
Zarco-Tejada, P.J.1
Guillén-Climent, M.L.2
Hernández-Clemente, R.3
Catalina, A.4
González, M.R.5
Martín, P.6
-
41
-
-
84864527574
-
Multitemporal analysis of hydrological soil surface characteristics using aerial photos: A case study on a Mediterranean vineyard
-
Corbane, C.; Jacob, F.; Raclot, D.; Albergel, J.; Andrieux, P. Multitemporal analysis of hydrological soil surface characteristics using aerial photos: A case study on a Mediterranean vineyard. Int. J. Appl. Earth Obs. Geoinf. 2012, 18, 356-367
-
(2012)
Int. J. Appl. Earth Obs. Geoinf
, vol.18
, pp. 356-367
-
-
Corbane, C.1
Jacob, F.2
Raclot, D.3
Albergel, J.4
Andrieux, P.5
-
42
-
-
84878718359
-
Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery
-
Zarco-Tejada, P.J.; Catalina, A.; González, M.R.; Martín, P. Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery. Remote Sens. Environ. 2013, 136, 247-258
-
(2013)
Remote Sens. Environ
, vol.136
, pp. 247-258
-
-
Zarco-Tejada, P.J.1
Catalina, A.2
González, M.R.3
Martín, P.4
-
43
-
-
84880077168
-
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review-Part I: Fundamentals
-
Wu, D.; Sun, D.-W. Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review-Part I: Fundamentals. Innov. Food Sci. Emerg. Technol. 2013, 19, 1-14
-
(2013)
Innov. Food Sci. Emerg. Technol
, vol.19
, pp. 1-14
-
-
Wu, D.1
Sun, D.-W.2
-
44
-
-
14544291010
-
Classification of imaging spectrometers for remote sensing applications
-
Sellar, R.G.; Boreman, G.D. Classification of imaging spectrometers for remote sensing applications. Opt. Eng. 2005, 44, 13602
-
(2005)
Opt. Eng
, vol.44
, pp. 13602
-
-
Sellar, R.G.1
Boreman, G.D.2
-
45
-
-
84905655999
-
CMOS image sensor: Process impact on dark current
-
HI, USA, 1-5 June
-
Carrère, J.P.; Place, S.; Oddou, J.P.; Benoit, D.; Roy, F. CMOS image sensor: Process impact on dark current. In Proceedings of the 2014 IEEE International on Reliability Physics Symposium, Waikoloa, HI, USA, 1-5 June 2014; pp. 3C.1.1-3C.1.6
-
(2014)
Proceedings of the 2014 IEEE International on Reliability Physics Symposium, Waikoloa
, pp. 3C.1.1-3C.1.6
-
-
Carrère, J.P.1
Place, S.2
Oddou, J.P.3
Benoit, D.4
Roy, F.5
-
46
-
-
84885455739
-
Review of snapshot spectral imaging technologies
-
Hagen, N.; Kudenov, M.W. Review of snapshot spectral imaging technologies. Opt. Eng. 2013, 52, 090901
-
(2013)
Opt. Eng
, vol.52
-
-
Hagen, N.1
Kudenov, M.W.2
-
47
-
-
84981297997
-
Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror, and Compact Spectrometers
-
Uto, K.; Seki, H.; Saito, G.; Kosugi, Y.; Komatsu, T. Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror, and Compact Spectrometers. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 3909-3925
-
(2016)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.9
, pp. 3909-3925
-
-
Uto, K.1
Seki, H.2
Saito, G.3
Kosugi, Y.4
Komatsu, T.5
-
48
-
-
84913575682
-
Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging
-
Paris, France, 27-30 October
-
Fowler, J.E. Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging. In Proceedings of the 2014 IEEE International Conference on Image Processing, Paris, France, 27-30 October 2014; pp. 684-688
-
(2014)
Proceedings of the 2014 IEEE International Conference on Image Processing
, pp. 684-688
-
-
Fowler, J.E.1
-
49
-
-
84902287000
-
HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System: HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned
-
Lucieer, A.; Malenovský, Z.; Veness, T.; Wallace, L. HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System: HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned. J. Field Robot. 2014, 31, 571-590
-
(2014)
J. Field Robot
, vol.31
, pp. 571-590
-
-
Lucieer, A.1
Malenovský, Z.2
Veness, T.3
Wallace, L.4
-
50
-
-
84877928191
-
Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System
-
Uto, K.; Seki, H.; Saito, G.; Kosugi, Y. Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2013, 6, 851-860
-
(2013)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.6
, pp. 851-860
-
-
Uto, K.1
Seki, H.2
Saito, G.3
Kosugi, Y.4
-
51
-
-
84941356382
-
Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers
-
Uto, K.; Seki, H.; Saito, G.; Kosugi, Y.; Komatsu, T. Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 861-875
-
(2016)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.9
, pp. 861-875
-
-
Uto, K.1
Seki, H.2
Saito, G.3
Kosugi, Y.4
Komatsu, T.5
-
52
-
-
84894456662
-
Fabry-Pérot-multichannel spectrometer tandem for ultra-high resolution Raman spectroscopy
-
Rozas, G.; Jusserand, B.; Fainstein, A. Fabry-Pérot-multichannel spectrometer tandem for ultra-high resolution Raman spectroscopy. Rev. Sci. Instrum. 2014, 85, 13103
-
(2014)
Rev. Sci. Instrum
, vol.85
, pp. 13103
-
-
Rozas, G.1
Jusserand, B.2
Fainstein, A.3
-
53
-
-
84924235927
-
New light-weight stereosopic spectrometric airborne imaging technology for high-resolution environmental remote sensing case studies in water quality mapping
-
Honkavaara, E.; Hakala, T.; Kirjasniemi, J.; Lindfors, A.; Mäkynen, J.; Nurminen, K.; Ruokokoski, P.; Saari, H.; Markelin, L. New light-weight stereosopic spectrometric airborne imaging technology for high-resolution environmental remote sensing case studies in water quality mapping. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2013, 1, W1
-
(2013)
Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci
, vol.1
, pp. W1
-
-
Honkavaara, E.1
Hakala, T.2
Kirjasniemi, J.3
Lindfors, A.4
Mäkynen, J.5
Nurminen, K.6
Ruokokoski, P.7
Saari, H.8
Markelin, L.9
-
54
-
-
84888349041
-
Hyperspectral Remote Sensing Data Analysis and Future Challenges
-
Bioucas-Dias, J.M.; Plaza, A.; Camps-Valls, G.; Scheunders, P.; Nasrabadi, N.; Chanussot, J. Hyperspectral Remote Sensing Data Analysis and Future Challenges. IEEE Geosci. Remote Sens. Mag. 2013, 1, 6-36
-
(2013)
IEEE Geosci. Remote Sens. Mag
, vol.1
, pp. 6-36
-
-
Bioucas-Dias, J.M.1
Plaza, A.2
Camps-Valls, G.3
Scheunders, P.4
Nasrabadi, N.5
Chanussot, J.6
-
55
-
-
84959092786
-
Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras
-
Habib, A.; Xiong, W.; He, F.; Yang, H.L.; Crawford, M. Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2017, 10, 262-276
-
(2017)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.10
, pp. 262-276
-
-
Habib, A.1
Xiong, W.2
He, F.3
Yang, H.L.4
Crawford, M.5
-
56
-
-
85034779005
-
-
accessed on 2 April 2017
-
Photonics, Headwall VNIR. Available online: http://www.headwallphotonics.com/spectral-imaging/hyperspectral/vnir (accessed on 2 April 2017)
-
-
-
-
57
-
-
84878953571
-
Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site
-
Duan, S.-B.; Li, Z.-L.; Tang, B.-H.;Wu, H.; Ma, L.; Zhao, E.; Li, C. Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site. PLoS ONE 2013, 8, e66972
-
(2013)
PLoS ONE
, vol.8
-
-
Duan, S.-B.1
Li, Z.-L.2
Tang, B.-H.3
Wu, H.4
Ma, L.5
Zhao, E.6
Li, C.7
-
58
-
-
85010676775
-
The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo-A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data
-
Jakob, S.; Zimmermann, R.; Gloaguen, R. The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo-A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data. Remote Sens. 2017, 9, 88
-
(2017)
Remote Sens
, vol.9
, pp. 88
-
-
Jakob, S.1
Zimmermann, R.2
Gloaguen, R.3
-
59
-
-
84870717321
-
Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle
-
Hruska, R.; Mitchell, J.; Anderson, M.; Glenn, N.F. Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle. Remote Sens. 2012, 4, 2736-2752
-
(2012)
Remote Sens
, vol.4
, pp. 2736-2752
-
-
Hruska, R.1
Mitchell, J.2
Anderson, M.3
Glenn, N.F.4
-
61
-
-
79955636198
-
Operational Atmospheric Correction for Imaging Spectrometers Accounting for the Smile Effect
-
Richter, R.; Schlapfer, D.; Muller, A. Operational Atmospheric Correction for Imaging Spectrometers Accounting for the Smile Effect. IEEE Trans. Geosci. Remote Sens. 2011, 49, 1772-1780
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.49
, pp. 1772-1780
-
-
Richter, R.1
Schlapfer, D.2
Muller, A.3
-
62
-
-
77957989231
-
Accurate Implementation of Anisotropic Diffusion in the Hypercube
-
Mendez-Rial, R.; Calvino-Cancela, M.; Martin-Herrero, J. Accurate Implementation of Anisotropic Diffusion in the Hypercube. IEEE Geosci. Remote Sens. Lett. 2010, 7, 870-874
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, pp. 870-874
-
-
Mendez-Rial, R.1
Calvino-Cancela, M.2
Martin-Herrero, J.3
-
63
-
-
84870418950
-
Enhancing Spatial Resolution of Hyperspectral Imagery Using Sensor's Intrinsic Keystone Distortion
-
Qian, S.E.; Chen, G. Enhancing Spatial Resolution of Hyperspectral Imagery Using Sensor's Intrinsic Keystone Distortion. IEEE Trans. Geosci. Remote Sens. 2012, 50, 5033-5048
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, pp. 5033-5048
-
-
Qian, S.E.1
Chen, G.2
-
64
-
-
37449020710
-
Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest
-
Alparone, L.; Wald, L.; Chanussot, J.; Thomas, C.; Gamba, P.; Bruce, L.M. Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3012-3021
-
(2007)
IEEE Trans. Geosci. Remote Sens
, vol.45
, pp. 3012-3021
-
-
Alparone, L.1
Wald, L.2
Chanussot, J.3
Thomas, C.4
Gamba, P.5
Bruce, L.M.6
-
65
-
-
84961619721
-
Preprocessing and compression of Hyperspectral images captured onboard UAVs
-
Unmanned/Unattended Sensors and Sensor Networks XI; and Advanced Free-Space Optical Communication Techniques and Applications, Toulouse, France, 13 October
-
Herrero, R.; Cadirola, M.; Ingle, V.K. Preprocessing and compression of Hyperspectral images captured onboard UAVs. In Proceedings of the SPIE 9647, Unmanned/Unattended Sensors and Sensor Networks XI; and Advanced Free-Space Optical Communication Techniques and Applications, Toulouse, France, 13 October 2015; p. 964705
-
(2015)
Proceedings of the SPIE 9647
-
-
Herrero, R.1
Cadirola, M.2
Ingle, V.K.3
-
66
-
-
79960151553
-
Data handling in hyperspectral image analysis
-
Burger, J.; Gowen, A. Data handling in hyperspectral image analysis. Chemom. Intell. Lab. Syst. 2011, 108, 13-22
-
(2011)
Chemom. Intell. Lab. Syst
, vol.108
, pp. 13-22
-
-
Burger, J.1
Gowen, A.2
-
67
-
-
85032751896
-
Hyperspectral image data analysis
-
Landgrebe, D. Hyperspectral image data analysis. IEEE Signal Process. Mag. 2002, 19, 17-28
-
(2002)
IEEE Signal Process. Mag
, vol.19
, pp. 17-28
-
-
Landgrebe, D.1
-
68
-
-
33748659693
-
Hyperspectral image analysis using noise-adjusted principal component transform
-
Hyperspectral, and Ultraspectral Imagery XII, Orlando, FL, USA, 4 May
-
Du, Q.; Raksuntorn, N. Hyperspectral image analysis using noise-adjusted principal component transform. In Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, Orlando, FL, USA, 4 May 2006
-
(2006)
Proceedings of the SPIE Algorithms and Technologies for Multispectral
-
-
Du, Q.1
Raksuntorn, N.2
-
69
-
-
0038444885
-
Comparison of principal components analysis and minimum noise fraction transformation for reducing the dimensionality of hyperspectral imagery
-
Chen, C. Comparison of principal components analysis and minimum noise fraction transformation for reducing the dimensionality of hyperspectral imagery. Geogr. Res. 2000, 163-178
-
(2000)
Geogr. Res
, pp. 163-178
-
-
Chen, C.1
-
70
-
-
85032752318
-
Hyperspectral Target Detection: An Overview of Current and Future Challenges
-
Nasrabadi, N.M. Hyperspectral Target Detection: An Overview of Current and Future Challenges. IEEE Signal Process. Mag. 2014, 31, 34-44
-
(2014)
IEEE Signal Process. Mag
, vol.31
, pp. 34-44
-
-
Nasrabadi, N.M.1
-
71
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
Manolakis, D.; Shaw, G. Detection algorithms for hyperspectral imaging applications. IEEE Signal Process. Mag. 2002, 19, 29-43
-
(2002)
IEEE Signal Process. Mag
, vol.19
, pp. 29-43
-
-
Manolakis, D.1
Shaw, G.2
-
73
-
-
80052979778
-
Introduction to hyperspectral image analysis
-
Shippert, P. Introduction to hyperspectral image analysis. Online J. Space Commun. 2003, 3, 13
-
(2003)
Online J. Space Commun
, vol.3
, pp. 13
-
-
Shippert, P.1
-
74
-
-
84861772901
-
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
-
Bioucas-Dias, J.M.; Plaza, A.; Dobigeon, N.; Parente, M.; Du, Q.; Gader, P.; Chanussot, J. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2012, 5, 354-379
-
(2012)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.5
, pp. 354-379
-
-
Bioucas-Dias, J.M.1
Plaza, A.2
Dobigeon, N.3
Parente, M.4
Du, Q.5
Gader, P.6
Chanussot, J.7
-
76
-
-
0030085612
-
Derived PDF of maximum likelihood signal estimator which employs an estimated noise covariance
-
Richmond, C.D. Derived PDF of maximum likelihood signal estimator which employs an estimated noise covariance. IEEE Trans. Signal Process. 1996, 44, 305-315
-
(1996)
IEEE Trans. Signal Process
, vol.44
, pp. 305-315
-
-
Richmond, C.D.1
-
79
-
-
0025508756
-
Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
-
Reed, I.S.; Yu, X. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution. IEEE Trans. Acoust. Speech Signal Process. 1990, 38, 1760-1770
-
(1990)
IEEE Trans. Acoust. Speech Signal Process
, vol.38
, pp. 1760-1770
-
-
Reed, I.S.1
Yu, X.2
-
80
-
-
0032292592
-
The CFAR adaptive subspace detector is a scale-invariant GLRT
-
Portland, OR, USA, 14-16 September
-
Kraut, S.; Scharf, L.L. The CFAR adaptive subspace detector is a scale-invariant GLRT. In Proceedings of the Ninth IEEE Signal on Workshop on Statistical Signal and Array Processing, Portland, OR, USA, 14-16 September 1998; pp. 57-60
-
(1998)
Proceedings of the Ninth IEEE Signal on Workshop on Statistical Signal and Array Processing
, pp. 57-60
-
-
Kraut, S.1
Scharf, L.L.2
-
81
-
-
0035124109
-
Adaptive subspace detectors
-
Kraut, S.; Scharf, L.L.; McWhorter, L.T. Adaptive subspace detectors. IEEE Trans. Signal Process. 2001, 49, 1-16
-
(2001)
IEEE Trans. Signal Process
, vol.49
, pp. 1-16
-
-
Kraut, S.1
Scharf, L.L.2
McWhorter, L.T.3
-
83
-
-
0035392132
-
Hyperspectral subpixel target detection using the linear mixing model
-
Manolakis, D.; Siracusa, C.; Shaw, G. Hyperspectral subpixel target detection using the linear mixing model. IEEE Trans. Geosci. Remote Sens. 2001, 39, 1392-1409
-
(2001)
IEEE Trans. Geosci. Remote Sens
, vol.39
, pp. 1392-1409
-
-
Manolakis, D.1
Siracusa, C.2
Shaw, G.3
-
84
-
-
35948987265
-
A comparative study of linear and nonlinear anomaly detectors for hyperspectral imagery
-
Hyperspectral, and Ultraspectral Imagery XIII, Orlando, FL, USA, 9-13 April
-
Goldberg, H.; Nasrabadi, N.M. A comparative study of linear and nonlinear anomaly detectors for hyperspectral imagery. In Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, Orlando, FL, USA, 9-13 April 2007; p. 656504
-
(2007)
Proceedings of the SPIE Algorithms and Technologies for Multispectral
-
-
Goldberg, H.1
Nasrabadi, N.M.2
-
85
-
-
13144293109
-
Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
-
Kwon, H.; Nasrabadi, N.M. Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 2005, 43, 388-397
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.43
, pp. 388-397
-
-
Kwon, H.1
Nasrabadi, N.M.2
-
86
-
-
33746885881
-
A support vector method for anomaly detection in hyperspectral imagery
-
Banerjee, A.; Burlina, P.; Diehl, C. A support vector method for anomaly detection in hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 2006, 44, 2282-2291
-
(2006)
IEEE Trans. Geosci. Remote Sens
, vol.44
, pp. 2282-2291
-
-
Banerjee, A.1
Burlina, P.2
Diehl, C.3
-
87
-
-
84960532845
-
Comparison of hyperspectral change detection algorithms
-
San Diego, CA, USA, 9-13 August
-
Pieper, M.; Manolakis, D.; Truslow, E.; Cooley, T.; Brueggeman, M.; Weisner, A.; Jacobson, J. Comparison of hyperspectral change detection algorithms. In Proceedings of the SPIE Optical Engineering + Applications, San Diego, CA, USA, 9-13 August 2015; p. 96110Z
-
(2015)
Proceedings of the SPIE Optical Engineering + Applications
-
-
Pieper, M.1
Manolakis, D.2
Truslow, E.3
Cooley, T.4
Brueggeman, M.5
Weisner, A.6
Jacobson, J.7
-
88
-
-
0026680976
-
A CFAR adaptive matched filter detector
-
Robey, F.C.; Fuhrmann, D.R.; Kelly, E.J.; Nitzberg, R. A CFAR adaptive matched filter detector. IEEE Trans. Aerosp. Electron. Syst. 1992, 28, 208-216
-
(1992)
IEEE Trans. Aerosp. Electron. Syst
, vol.28
, pp. 208-216
-
-
Robey, F.C.1
Fuhrmann, D.R.2
Kelly, E.J.3
Nitzberg, R.4
-
89
-
-
0028467206
-
Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
-
Harsanyi, J.C.; Chang, C.I. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach. IEEE Trans. Geosci. Remote Sens. 1994, 32, 779-785
-
(1994)
IEEE Trans. Geosci. Remote Sens
, vol.32
, pp. 779-785
-
-
Harsanyi, J.C.1
Chang, C.I.2
-
90
-
-
0004094721
-
-
MIT Press: Cambridge, MA, USA
-
Scholkopf, B.; Smola, A.J. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond; MIT Press: Cambridge, MA, USA, 2001; ISBN 978-0-262-19475-4
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
-
-
Scholkopf, B.1
Smola, A.J.2
-
91
-
-
77950870473
-
Continuum fusion: A theory of inference, with applications to hyperspectral detection
-
Schaum, A. Continuum fusion: A theory of inference, with applications to hyperspectral detection. Opt. Express 2010, 18, 8171-8181
-
(2010)
Opt. Express
, vol.18
, pp. 8171-8181
-
-
Schaum, A.1
-
92
-
-
85032750872
-
Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms
-
Manolakis, D.; Truslow, E.; Pieper, M.; Cooley, T.; Brueggeman, M. Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms. IEEE Signal Process. Mag. 2014, 31, 24-33
-
(2014)
IEEE Signal Process. Mag
, vol.31
, pp. 24-33
-
-
Manolakis, D.1
Truslow, E.2
Pieper, M.3
Cooley, T.4
Brueggeman, M.5
-
93
-
-
84870180490
-
Hyperspectral matched filter with false-alarm mitigation
-
DiPietro, R.S.; Manolakis, D.; Lockwood, R.B.; Cooley, T.; Jacobson, J. Hyperspectral matched filter with false-alarm mitigation. Opt. Eng. 2012, 51, 16202
-
(2012)
Opt. Eng
, vol.51
, pp. 16202
-
-
DiPietro, R.S.1
Manolakis, D.2
Lockwood, R.B.3
Cooley, T.4
Jacobson, J.5
-
94
-
-
84881192881
-
False alarm mitigation techniques for hyperspectral target detection
-
Security, and Sensing, Baltimore, MD, USA, 29 April-3 May
-
Pieper, M.L.; Manolakis, D.; Truslow, E.; Cooley, T.; Brueggeman, M. False alarm mitigation techniques for hyperspectral target detection. In Proceedings of the SPIE Defense, Security, and Sensing, Baltimore, MD, USA, 29 April-3 May 2013; p. 874304
-
(2013)
Proceedings of the SPIE Defense
-
-
Pieper, M.L.1
Manolakis, D.2
Truslow, E.3
Cooley, T.4
Brueggeman, M.5
-
95
-
-
43449120158
-
Performance of Variable Selection Methods in Regression Using Variations of the Bayesian Information Criterion
-
Burr, T.; Fry, H.; McVey, B.; Sander, E.; Cavanaugh, J.; Neath, A. Performance of Variable Selection Methods in Regression Using Variations of the Bayesian Information Criterion. Commun. Stat. Simul. Comput. 2008, 37, 507-520
-
(2008)
Commun. Stat. Simul. Comput
, vol.37
, pp. 507-520
-
-
Burr, T.1
Fry, H.2
McVey, B.3
Sander, E.4
Cavanaugh, J.5
Neath, A.6
-
96
-
-
3843151477
-
Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
-
Keshava, N. Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries. IEEE Trans. Geosci. Remote Sens. 2004, 42, 1552-1565
-
(2004)
IEEE Trans. Geosci. Remote Sens
, vol.42
, pp. 1552-1565
-
-
Keshava, N.1
-
97
-
-
77955682014
-
A tutorial overview of anomaly detection in hyperspectral images
-
Matteoli, S.; Diani, M.; Corsini, G. A tutorial overview of anomaly detection in hyperspectral images. IEEE Aerosp. Electron. Syst. Mag. 2010, 25, 5-28
-
(2010)
IEEE Aerosp. Electron. Syst. Mag
, vol.25
, pp. 5-28
-
-
Matteoli, S.1
Diani, M.2
Corsini, G.3
-
98
-
-
33846220041
-
A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery
-
Kwon, H.; Nasrabadi, N.M. A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. EURASIP J. Adv. Signal Process. 2006, 2007, 29250
-
(2006)
EURASIP J. Adv. Signal Process
, vol.2007
, pp. 29250
-
-
Kwon, H.1
Nasrabadi, N.M.2
-
100
-
-
67650436064
-
Recent advances in techniques for hyperspectral image processing
-
Plaza, A.; Benediktsson, J.A.; Boardman, J.W.; Brazile, J.; Bruzzone, L.; Camps-Valls, G.; Chanussot, J.; Fauvel, M.; Gamba, P.; Gualtieri, A.; et al. Recent advances in techniques for hyperspectral image processing. Remote Sens. Environ. 2009, 113 (Suppl. S1), S110-S122
-
(2009)
Remote Sens. Environ
, vol.113
, pp. S110-S122
-
-
Plaza, A.1
Benediktsson, J.A.2
Boardman, J.W.3
Brazile, J.4
Bruzzone, L.5
Camps-Valls, G.6
Chanussot, J.7
Fauvel, M.8
Gamba, P.9
Gualtieri, A.10
-
101
-
-
0026966646
-
A Training Algorithm for Optimal Margin Classifiers
-
New York, NY, USA, 27-29 July
-
Boser, B.E.; Guyon, I.M.; Vapnik, V.N. A Training Algorithm for Optimal Margin Classifiers. In Proceedings of the Fifth Annual Workshop on Computational Learning Theory, New York, NY, USA, 27-29 July 1992; pp. 144-152
-
(1992)
Proceedings of the Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
102
-
-
0242712308
-
Support vector machines for hyperspectral image classification with spectral-based kernels
-
Toulouse, France, 21-25 July
-
Mercier, G.; Lennon, M. Support vector machines for hyperspectral image classification with spectral-based kernels. In Proceedings of the 2003 IEEE International Conferences on Geoscience and Remote Sensing Symposium, Toulouse, France, 21-25 July 2003; pp. 288-290
-
(2003)
Proceedings of the 2003 IEEE International Conferences on Geoscience and Remote Sensing Symposium
, pp. 288-290
-
-
Mercier, G.1
Lennon, M.2
-
103
-
-
34249810956
-
Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal
-
Chi, M.; Bruzzone, L. Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal. IEEE Trans. Geosci. Remote Sens. 2007, 45, 1870-1880
-
(2007)
IEEE Trans. Geosci. Remote Sens
, vol.45
, pp. 1870-1880
-
-
Chi, M.1
Bruzzone, L.2
-
104
-
-
21444433029
-
Super-resolution land cover mapping using a Markov random field based approach
-
Kasetkasem, T.; Arora, M.K.; Varshney, P.K. Super-resolution land cover mapping using a Markov random field based approach. Remote Sens. Environ. 2005, 96, 302-314
-
(2005)
Remote Sens. Environ
, vol.96
, pp. 302-314
-
-
Kasetkasem, T.1
Arora, M.K.2
Varshney, P.K.3
-
105
-
-
0038731227
-
Learning with progressive transductive support vector machine
-
Chen, Y.; Wang, G.; Dong, S. Learning with progressive transductive support vector machine. Pattern Recognit. Lett. 2003, 24, 1845-1855
-
(2003)
Pattern Recognit. Lett
, vol.24
, pp. 1845-1855
-
-
Chen, Y.1
Wang, G.2
Dong, S.3
-
107
-
-
84999035133
-
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data
-
Appice, A.; Guccione, P.; Malerba, D. A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. Pattern Recognit. 2017, 63, 229-245
-
(2017)
Pattern Recognit
, vol.63
, pp. 229-245
-
-
Appice, A.1
Guccione, P.2
Malerba, D.3
-
108
-
-
61349199062
-
Classification of Hyperspectral Images with Regularized Linear Discriminant Analysis
-
Bandos, T.V.; Bruzzone, L.; Camps-Valls, G. Classification of Hyperspectral Images with Regularized Linear Discriminant Analysis. IEEE Trans. Geosci. Remote Sens. 2009, 47, 862-873
-
(2009)
IEEE Trans. Geosci. Remote Sens
, vol.47
, pp. 862-873
-
-
Bandos, T.V.1
Bruzzone, L.2
Camps-Valls, G.3
-
109
-
-
39049145967
-
Semi-Supervised Graph-Based Hyperspectral Image Classification
-
Camps-Valls, G.; Marsheva, T.V. B.; Zhou, D. Semi-Supervised Graph-Based Hyperspectral Image Classification. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3044-3054
-
(2007)
IEEE Trans. Geosci. Remote Sens
, vol.45
, pp. 3044-3054
-
-
Camps-Valls, G.1
Marsheva, T.V.B.2
Zhou, D.3
-
110
-
-
84872315679
-
Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks
-
Agapiou, A.; Hadjimitsis, D.G.; Alexakis, D.D. Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks. Remote Sens. 2012, 4, 3892-3919
-
(2012)
Remote Sens
, vol.4
, pp. 3892-3919
-
-
Agapiou, A.1
Hadjimitsis, D.G.2
Alexakis, D.D.3
-
111
-
-
76049128596
-
Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery: An application on a Phlomis fruticosa Mediterranean ecosystem using multiangular CHRIS/PROBA observations
-
Stagakis, S.; Markos, N.; Sykioti, O.; Kyparissis, A. Monitoring canopy biophysical and biochemical parameters in ecosystem scale using satellite hyperspectral imagery: An application on a Phlomis fruticosa Mediterranean ecosystem using multiangular CHRIS/PROBA observations. Remote Sens. Environ. 2010, 114, 977-994
-
(2010)
Remote Sens. Environ
, vol.114
, pp. 977-994
-
-
Stagakis, S.1
Markos, N.2
Sykioti, O.3
Kyparissis, A.4
-
112
-
-
1842431418
-
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
-
Haboudane, D.; Miller, J.R.; Pattey, E.; Zarco-Tejada, P.J.; Strachan, I.B. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sens. Environ. 2004, 90, 337-352
-
(2004)
Remote Sens. Environ
, vol.90
, pp. 337-352
-
-
Haboudane, D.1
Miller, J.R.2
Pattey, E.3
Zarco-Tejada, P.J.4
Strachan, I.B.5
-
113
-
-
27644598352
-
Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
-
Zarco-Tejada, P.; Berjon, A.; Lopezlozano, R.; Miller, J.; Martin, P.; Cachorro, V.; Gonzalez, M.; Defrutos, A. Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sens. Environ. 2005, 99, 271-287
-
(2005)
Remote Sens. Environ
, vol.99
, pp. 271-287
-
-
Zarco-Tejada, P.1
Berjon, A.2
Lopezlozano, R.3
Miller, J.4
Martin, P.5
Cachorro, V.6
Gonzalez, M.7
Defrutos, A.8
-
114
-
-
84873116174
-
Hyperspectral vegetation indices for crop chlorophyll estimation: Assessment, modeling and validation
-
Munich, Germany, 22-27 July
-
Lin, P.; Qin, Q.; Dong, H.; Meng, Q. Hyperspectral vegetation indices for crop chlorophyll estimation: Assessment, modeling and validation. In Proceedings of the 2012 IEEE International conferences on Geoscience and Remote Sensing Symposium, Munich, Germany, 22-27 July 2012; pp. 4841-4844
-
(2012)
Proceedings of the 2012 IEEE International conferences on Geoscience and Remote Sensing Symposium
, pp. 4841-4844
-
-
Lin, P.1
Qin, Q.2
Dong, H.3
Meng, Q.4
-
115
-
-
84977126748
-
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method
-
Liang, L.; Qin, Z.; Zhao, S.; Di, L.; Zhang, C.; Deng, M.; Lin, H.; Zhang, L.; Wang, L.; Liu, Z. Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method. Int. J. Remote Sens. 2016, 37, 2923-2949
-
(2016)
Int. J. Remote Sens
, vol.37
, pp. 2923-2949
-
-
Liang, L.1
Qin, Z.2
Zhao, S.3
Di, L.4
Zhang, C.5
Deng, M.6
Lin, H.7
Zhang, L.8
Wang, L.9
Liu, Z.10
-
117
-
-
85021150926
-
Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages
-
Din, M.; Zheng, W.; Rashid, M.; Wang, S.; Shi, Z. Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages. Front. Plant Sci. 2017, 8
-
(2017)
Front. Plant Sci
, pp. 8
-
-
Din, M.1
Zheng, W.2
Rashid, M.3
Wang, S.4
Shi, Z.5
-
118
-
-
84979492674
-
Spectral-Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach
-
Zhao, W.; Du, S. Spectral-Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach. IEEE Trans. Geosci. Remote Sens. 2016, 54, 4544-4554
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, pp. 4544-4554
-
-
Zhao, W.1
Du, S.2
-
119
-
-
84977998287
-
Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking
-
Wang, Q.; Lin, J.; Yuan, Y. Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking. IEEE Trans. Neural Netw. Learn. Syst. 2016, 27, 1279-1289
-
(2016)
IEEE Trans. Neural Netw. Learn. Syst
, vol.27
, pp. 1279-1289
-
-
Wang, Q.1
Lin, J.2
Yuan, Y.3
-
120
-
-
85041366489
-
Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
-
Zhong, Z.; Li, J.; Luo, Z.; Chapman, M. Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework. IEEE Trans. Geosci. Remote Sens. 2017, PP, 1-12
-
(2017)
IEEE Trans. Geosci. Remote Sens
, pp. 1-12
-
-
Zhong, Z.1
Li, J.2
Luo, Z.3
Chapman, M.4
-
121
-
-
84995532079
-
Deep LearningWith Attribute Profiles for Hyperspectral Image Classification
-
Aptoula, E.; Ozdemir, M.C.; Yanikoglu, B. Deep LearningWith Attribute Profiles for Hyperspectral Image Classification. IEEE Geosci. Remote Sens. Lett. 2016, 13, 1970-1974
-
(2016)
IEEE Geosci. Remote Sens. Lett
, vol.13
, pp. 1970-1974
-
-
Aptoula, E.1
Ozdemir, M.C.2
Yanikoglu, B.3
-
122
-
-
85016510342
-
Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery
-
Li, W.; Wu, G.; Du, Q. Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery. IEEE Geosci. Remote Sens. Lett. 2017, 14, 597-601
-
(2017)
IEEE Geosci. Remote Sens. Lett
, vol.14
, pp. 597-601
-
-
Li, W.1
Wu, G.2
Du, Q.3
-
123
-
-
85034767499
-
-
accessed on 9 October 2017
-
Hexagon Geospatial Erdas Imagine® 2016 Product Features and Comparisons. Available online: http://www.hexagongeospatial.com/technical-documents/product-descriptions-2016/erdas-imagine-2016-product-description (accessed on 9 October 2017)
-
-
-
-
124
-
-
85034764894
-
-
accessed on 29 March 2017
-
Harris Geospatial ENVI Software Platform. Available online: http://www.harrisgeospatial.com/(accessed on 29 March 2017)
-
-
-
-
125
-
-
85034744388
-
-
accessed on 29 March 2017
-
Image Lab Software Bio-Rad. Available online: http://www.bio-rad.com/en-us/product/image-labsoftware (accessed on 29 March 2017)
-
-
-
-
126
-
-
85034765220
-
-
accessed on 29 March 2017
-
Brandywine Photonics Hyperspectral Imaging and CMOS Image Sensors. Available online: http://brandywinephotonics.com/(accessed on 29 March 2017)
-
-
-
-
127
-
-
85034767779
-
-
accessed on 29 March 2017
-
Resonon Inc. SpectrononPro Manual (Release 5.0). Available online: http://docs.resonon.com/spectronon/pika_manual/SpectrononProManual.pdf (accessed on 29 March 2017)
-
SpectrononPro Manual (Release 5.0)
-
-
-
128
-
-
85034785391
-
-
accessed on 29 March 2017
-
Welcome to Spectral Python (SPy)-Spectral Python 0.18 documentation. Available online: http://www. spectralpython.net/(accessed on 29 March 2017)
-
-
-
-
129
-
-
85034783467
-
-
accessed on 29 March 2017
-
Jelmer Oosthoek Hyperspectral Python (HypPy). Available online: https://www.itc.nl/personal/bakker/hyppy.html (accessed on 29 March 2017)
-
-
-
-
130
-
-
27544447009
-
An update on the MATLAB hyperspectral image analysis toolbox
-
Orlando, FL, USA, 1 June
-
Rosario-Torres, S.; Arzuaga-Cruz, E.; Velez-Reyes, M.; Jimenez-Rodriguez, L.O. An update on the MATLAB hyperspectral image analysis toolbox. In Proceedings of the Defense and Security, Orlando, FL, USA, 1 June 2005; pp. 743-752
-
(2005)
Proceedings of the Defense and Security
, pp. 743-752
-
-
Rosario-Torres, S.1
Arzuaga-Cruz, E.2
Velez-Reyes, M.3
Jimenez-Rodriguez, L.O.4
-
131
-
-
85034737739
-
-
accessed on 29 March 2017
-
Isaac Gerg Matlab Hyperspectral Toolbox. Available online: https://github.com/isaacgerg/matlabHyperspectralToolbox (accessed on 29 March 2017)
-
-
-
-
133
-
-
85034764114
-
-
accessed on 16 August 2017
-
TensorFlow. Available online: https://www.tensorflow.org/(accessed on 16 August 2017)
-
-
-
-
134
-
-
85034761513
-
-
accessed on 16 August 2017
-
Welcome-Theano 0.9.0 Documentation. Available online: http://deeplearning.net/software/theano/(accessed on 16 August 2017)
-
-
-
-
135
-
-
84975625640
-
Nondestructive measurement of chlorophyll pigment content in plant leaves from three-color reflectance and transmittance
-
Yamada, N.; Fujimura, S. Nondestructive measurement of chlorophyll pigment content in plant leaves from three-color reflectance and transmittance. Appl. Opt. 1991, 30, 3964-3973
-
(1991)
Appl. Opt
, vol.30
, pp. 3964-3973
-
-
Yamada, N.1
Fujimura, S.2
-
136
-
-
84887537551
-
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
-
Honkavaara, E.; Saari, H.; Kaivosoja, J.; Pölönen, I.; Hakala, T.; Litkey, P.; Mäkynen, J.; Pesonen, L. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. Remote Sens. 2013, 5, 5006-5039
-
(2013)
Remote Sens
, vol.5
, pp. 5006-5039
-
-
Honkavaara, E.1
Saari, H.2
Kaivosoja, J.3
Pölönen, I.4
Hakala, T.5
Litkey, P.6
Mäkynen, J.7
Pesonen, L.8
-
137
-
-
84855428733
-
Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
-
Zarco-Tejada, P.J.; González-Dugo, V.; Berni, J.A. J. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sens. Environ. 2012, 117, 322-337
-
(2012)
Remote Sens. Environ
, vol.117
, pp. 322-337
-
-
Zarco-Tejada, P.J.1
González-Dugo, V.2
Berni, J.A.J.3
-
138
-
-
84883497539
-
High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices
-
Calderón, R.; Navas-Cortés, J.A.; Lucena, C.; Zarco-Tejada, P.J. High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices. Remote Sens. Environ. 2013, 139, 231-245
-
(2013)
Remote Sens. Environ
, vol.139
, pp. 231-245
-
-
Calderón, R.1
Navas-Cortés, J.A.2
Lucena, C.3
Zarco-Tejada, P.J.4
-
139
-
-
84979937191
-
Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer
-
Burkart, A.; Aasen, H.; Alonso, L.; Menz, G.; Bareth, G.; Rascher, U. Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer. Remote Sens. 2015, 7, 725-746
-
(2015)
Remote Sens
, vol.7
, pp. 725-746
-
-
Burkart, A.1
Aasen, H.2
Alonso, L.3
Menz, G.4
Bareth, G.5
Rascher, U.6
-
140
-
-
84906535600
-
Unmanned aerial vehicle (UAV) hyperspectral remote sensing for dryland vegetation monitoring
-
Shanghai, China, 4-7 June
-
Mitchell, J.J.; Glenn, N.F.; Anderson, M.O.; Hruska, R.C.; Halford, A.; Baun, C.; Nydegger, N. Unmanned aerial vehicle (UAV) hyperspectral remote sensing for dryland vegetation monitoring. In Proceedings of the 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, China, 4-7 June 2012; pp. 1-10
-
(2012)
Proceedings of the 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
, pp. 1-10
-
-
Mitchell, J.J.1
Glenn, N.F.2
Anderson, M.O.3
Hruska, R.C.4
Halford, A.5
Baun, C.6
Nydegger, N.7
-
141
-
-
84888390832
-
A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data
-
Dresden, Germany, 15 October
-
Kaivosoja, J.; Pesonen, L.; Kleemola, J.; Pölönen, I.; Salo, H.; Honkavaara, E.; Saari, H.; Mäkynen, J.; Rajala, A. A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data. In Proceedings of the SPIE Remote Sensing, Dresden, Germany, 15 October 2013
-
(2013)
Proceedings of the SPIE Remote Sensing
-
-
Kaivosoja, J.1
Pesonen, L.2
Kleemola, J.3
Pölönen, I.4
Salo, H.5
Honkavaara, E.6
Saari, H.7
Mäkynen, J.8
Rajala, A.9
-
142
-
-
84941263991
-
Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
-
Aasen, H.; Burkart, A.; Bolten, A.; Bareth, G. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance. ISPRS J. Photogramm. Remote Sens. 2015, 108, 245-259
-
(2015)
ISPRS J. Photogramm. Remote Sens
, vol.108
, pp. 245-259
-
-
Aasen, H.1
Burkart, A.2
Bolten, A.3
Bareth, G.4
-
143
-
-
84950130043
-
Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level
-
Näsi, R.; Honkavaara, E.; Lyytikäinen-Saarenmaa, P.; Blomqvist, M.; Litkey, P.; Hakala, T.; Viljanen, N.; Kantola, T.; Tanhuanpää, T.; Holopainen, M. Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level. Remote Sens. 2015, 7, 15467-15493
-
(2015)
Remote Sens
, vol.7
, pp. 15467-15493
-
-
Näsi, R.1
Honkavaara, E.2
Lyytikäinen-Saarenmaa, P.3
Blomqvist, M.4
Litkey, P.5
Hakala, T.6
Viljanen, N.7
Kantola, T.8
Tanhuanpää, T.9
Holopainen, M.10
-
144
-
-
79955076643
-
Supervised Machine Learning: A Review of Classification Techniques
-
Kotsiantis, S.B. Supervised Machine Learning: A Review of Classification Techniques. Informatica 2007, 31
-
(2007)
Informatica
, pp. 31
-
-
Kotsiantis, S.B.1
-
146
-
-
80455143289
-
Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications
-
Prague, Czech Republic, 15 October
-
Saari, H.; Pellikka, I.; Pesonen, L.; Tuominen, S.; Heikkilä, J.; Holmlund, C.; Mäkynen, J.; Ojala, K.; Antila, T. Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications. In Proceedings of the SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, Prague, Czech Republic, 15 October 2011; Volume 8174
-
(2011)
Proceedings of the SPIE Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
, vol.8174
-
-
Saari, H.1
Pellikka, I.2
Pesonen, L.3
Tuominen, S.4
Heikkilä, J.5
Holmlund, C.6
Mäkynen, J.7
Ojala, K.8
Antila, T.9
-
147
-
-
85037526674
-
Hyperspectral Reflectance Signatures and Point Clouds for Precision Agriculture by LightWeight Uav Imaging System
-
Honkavaara, E.; Kaivosoja, J.; Mäkynen, J.; Pellikka, I.; Pesonen, L.; Saari, H.; Salo, H.; Hakala, T.; Marklelin, L.; Rosnell, T. Hyperspectral Reflectance Signatures and Point Clouds for Precision Agriculture by LightWeight Uav Imaging System. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2012, 7, 353-358
-
(2012)
ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci
, vol.7
, pp. 353-358
-
-
Honkavaara, E.1
Kaivosoja, J.2
Mäkynen, J.3
Pellikka, I.4
Pesonen, L.5
Saari, H.6
Salo, H.7
Hakala, T.8
Marklelin, L.9
Rosnell, T.10
-
148
-
-
84912144701
-
UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas
-
Salamí, E.; Barrado, C.; Pastor, E. UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas. Remote Sens. 2014, 6, 11051-11081
-
(2014)
Remote Sens
, vol.6
, pp. 11051-11081
-
-
Salamí, E.1
Barrado, C.2
Pastor, E.3
-
149
-
-
85034756381
-
UAS-based hyperspectral sensing methodology for continuous monitoring and early detection of vineyard anomalies
-
Vila Real, Portugal, 28-30 June
-
Adão, T.; Peres, E.; Pádua, L.; Hruška, J.; Sousa, J.J.; Morais, R. UAS-based hyperspectral sensing methodology for continuous monitoring and early detection of vineyard anomalies. In Proceedings of the Small Unmanned Aerial Systems for Environmental Research, Vila Real, Portugal, 28-30 June 2017
-
(2017)
Proceedings of the Small Unmanned Aerial Systems for Environmental Research
-
-
Adão, T.1
Peres, E.2
Pádua, L.3
Hruška, J.4
Sousa, J.J.5
Morais, R.6
|