메뉴 건너뛰기




Volumn 5, Issue 6, 2014, Pages 1304-1330

Evaluation and comparison of quickbird and ADS40-SH52 multispectral imagery for mapping iberian wild pear trees (Pyrus bourgaeana, Decne) in a mediterranean mixed forest

Author keywords

Accuracy assessment; ADS40 SH52 imagery; Iberian wild pear; Maximum likelihood; Mosaicing; Multispectral image; Pyrus bourgaeana; QuickBird imagery; Support vector machines; Vegetation mapping

Indexed keywords

CONSERVATION; FRUITS; MAPPING; MAXIMUM LIKELIHOOD; PIXELS; SUPPORT VECTOR MACHINES; VEGETATION;

EID: 84902523026     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f5061304     Document Type: Article
Times cited : (8)

References (70)
  • 1
    • 77549088874 scopus 로고    scopus 로고
    • Remote Sensing Imagery in Vegetation Mapping: A review
    • Xie, Y.; Sha, Z.; Yu, M. Remote Sensing Imagery in Vegetation Mapping: A review. J. Plant. Ecol.. 2008;1:9-23.
    • (2008) J. Plant. Ecol. , vol.1 , pp. 9-23
    • Xie, Y.1    Sha, Z.2    Yu, M.3
  • 2
    • 84897585667 scopus 로고    scopus 로고
    • A Framework for Mapping Tree Species Combining Hyperspectral and LiDAR Data: Role of Selected Classifiers and Sensor across Three Spatial Scales
    • Ghosh, A.; Fassnach, F.E.; Josh, P.K.; Koch, B. A Framework for Mapping Tree Species Combining Hyperspectral and LiDAR Data: Role of Selected Classifiers and Sensor across Three Spatial Scales. Int. J. Appl. Earth Obs. Geoinf.. 2014;26:49-63.
    • (2014) Int. J. Appl. Earth Obs. Geoinf. , vol.26 , pp. 49-63
    • Ghosh, A.1    Fassnach, F.E.2    Josh, P.K.3    Koch, B.4
  • 3
    • 0035882583 scopus 로고    scopus 로고
    • Review article. Using Remote Sensing to Assess Biodiversity
    • Nagendra, H. Review article. Using Remote Sensing to Assess Biodiversity. Int. J. Remote Sens.. 2001;22:2377-2400.
    • (2001) Int. J. Remote Sens. , vol.22 , pp. 2377-2400
    • Nagendra, H.1
  • 4
    • 2942563890 scopus 로고    scopus 로고
    • High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization
    • Wulder, M.A.; Hall, R.J.; Coops, N.C.; Franklin, S.E. High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization. Bioscience. 2004;4:511-521.
    • (2004) Bioscience , vol.4 , pp. 511-521
    • Wulder, M.A.1    Hall, R.J.2    Coops, N.C.3    Franklin, S.E.4
  • 5
    • 53349176951 scopus 로고    scopus 로고
    • Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics
    • Thomas, C.; Ranchin, T.; Wald, L. Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics. IEEE Trans. Geosci. Remote Sens.. 2008;46:1301-1312.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , pp. 1301-1312
    • Thomas, C.1    Ranchin, T.2    Wald, L.3
  • 6
    • 0036467980 scopus 로고    scopus 로고
    • TIDA: An Algorithm for the Delineation of Tree Crowns in High Spatial Resolution Remotely Sensed Imagery
    • Culvenor, D. TIDA: An Algorithm for the Delineation of Tree Crowns in High Spatial Resolution Remotely Sensed Imagery. Comput. Geosci.. 2002;28:33-44.
    • (2002) Comput. Geosci. , vol.28 , pp. 33-44
    • Culvenor, D.1
  • 8
    • 0033923602 scopus 로고    scopus 로고
    • Local Maximum Filtering for the Extraction of Tree Location and Basal Area from High Spatial Resolution Imagery
    • Wulder, M.; Niemann, O.; Goodenough, D. Local Maximum Filtering for the Extraction of Tree Location and Basal Area from High Spatial Resolution Imagery. Remote Sens. Environ.. 2000;73:103-114.
    • (2000) Remote Sens. Environ. , vol.73 , pp. 103-114
    • Wulder, M.1    Niemann, O.2    Goodenough, D.3
  • 9
    • 77955227542 scopus 로고    scopus 로고
    • Comparison of Airborne and Satellite High Spatial Resolution Data for the Identification of Individual Trees with Local Maxima Filtering
    • Wulder, M.A.; White, J.C.; Niemann, K.O.; Nelson, T. Comparison of Airborne and Satellite High Spatial Resolution Data for the Identification of Individual Trees with Local Maxima Filtering. Int. J. Remote Sens.. 2004;10:2225-2232.
    • (2004) Int. J. Remote Sens. , vol.10 , pp. 2225-2232
    • Wulder, M.A.1    White, J.C.2    Niemann, K.O.3    Nelson, T.4
  • 10
    • 12144251069 scopus 로고    scopus 로고
    • Techniques for Accuracy Assessment of Tree Locations Extracted From Remotely Sensed Imagery
    • Nelson, T.; Boots, B.; Wulder, M.A. Techniques for Accuracy Assessment of Tree Locations Extracted From Remotely Sensed Imagery. J. Environ. Manage.. 2005;74:265-271.
    • (2005) J. Environ. Manage. , vol.74 , pp. 265-271
    • Nelson, T.1    Boots, B.2    Wulder, M.A.3
  • 11
    • 0036554569 scopus 로고    scopus 로고
    • Mapping Spatial Pattern in Biodiversity for Regional Conservation Planning: Where to from Here?
    • Ferrier, S. Mapping Spatial Pattern in Biodiversity for Regional Conservation Planning: Where to from Here? Syst. Biol.. 2002;51:331-363.
    • (2002) Syst. Biol. , vol.51 , pp. 331-363
    • Ferrier, S.1
  • 12
    • 84915122303 scopus 로고
    • Identification of Tree Species on Large Scale Panchromatic and Color Aerial Photographs
    • Department of Agriculture: Washington, DC, USA
    • Heller, R.C.; Doverspike, G.E.; Aldrich, R.C. Identification of Tree Species on Large Scale Panchromatic and Color Aerial Photographs; Department of Agriculture: Washington, DC, USA, 1964; pp. 1-17.
    • (1964) , pp. 1-17
    • Heller, R.C.1    Doverspike, G.E.2    Aldrich, R.C.3
  • 13
    • 2942719059 scopus 로고    scopus 로고
    • Species Classification of Individually Segmented Tree Crowns in High-Resolution Aerial Images Using Radiometric and Morphologic Image Measures
    • Erikson, M. Species Classification of Individually Segmented Tree Crowns in High-Resolution Aerial Images Using Radiometric and Morphologic Image Measures. Remote Sens. Environ.. 2004;91:469-477.
    • (2004) Remote Sens. Environ. , vol.91 , pp. 469-477
    • Erikson, M.1
  • 14
    • 41749104627 scopus 로고    scopus 로고
    • Mapping Spiny Aster Infestations with QuickBird Imagery
    • Everitt, J.H.; Yang, C.; Drawe, D.L. Mapping Spiny Aster Infestations with QuickBird Imagery. Geocarto. Int.. 2007;22:273-283.
    • (2007) Geocarto. Int. , vol.22 , pp. 273-283
    • Everitt, J.H.1    Yang, C.2    Drawe, D.L.3
  • 15
    • 21444447781 scopus 로고    scopus 로고
    • Hyperspectral Discrimination of Tropical Rain Forest Tree Species at Leaf to Crown Scales
    • Clark, M.L.; Roberts, D.A.; Clark, D.B. Hyperspectral Discrimination of Tropical Rain Forest Tree Species at Leaf to Crown Scales. Remote Sens. Environ.. 2005;96:375-398.
    • (2005) Remote Sens. Environ. , vol.96 , pp. 375-398
    • Clark, M.L.1    Roberts, D.A.2    Clark, D.B.3
  • 16
    • 31344453556 scopus 로고    scopus 로고
    • Mapping Invasive Plants using Hyperspectral Imagery and Breiman Culter Classifications (randomForest)
    • Lawrence, R.L.; Wood, S.D.; Sheley, R.L. Mapping Invasive Plants using Hyperspectral Imagery and Breiman Culter Classifications (randomForest). Remote Sens. Environ.. 2006;100:356-362.
    • (2006) Remote Sens. Environ. , vol.100 , pp. 356-362
    • Lawrence, R.L.1    Wood, S.D.2    Sheley, R.L.3
  • 17
    • 34548489372 scopus 로고    scopus 로고
    • Single Tree Detection in Very High Resolution Remote Sensing Data. Remote Sens
    • Forests 2014, 5 1327
    • Hirschmugl, M.; Weninger, B.; Raggam, H.; Schardt, M. Single Tree Detection in Very High Resolution Remote Sensing Data. Remote Sens. Environ. 2007, 110, 533-544. Forests 2014, 5 1327
    • (2007) Environ , vol.110 , pp. 533-544
    • Hirschmugl, M.1    Weninger, B.2    Raggam, H.3    Schardt, M.4
  • 18
    • 77958099826 scopus 로고    scopus 로고
    • Semi-automatic Classification of Tree Species in Different Forest Ecosystems by Spectral and Geometric Variables Derived from Airborne Digital Sensor (ADS40) and RC30 Data
    • Waser, L.T.; Ginzler, C.; Kuechler, M.; Baltsavias, E.; Hurni, L. Semi-automatic Classification of Tree Species in Different Forest Ecosystems by Spectral and Geometric Variables Derived from Airborne Digital Sensor (ADS40) and RC30 Data. Remote Sens. Environ.. 2011;115:76-85.
    • (2011) Remote Sens. Environ. , vol.115 , pp. 76-85
    • Waser, L.T.1    Ginzler, C.2    Kuechler, M.3    Baltsavias, E.4    Hurni, L.5
  • 19
    • 35348965750 scopus 로고    scopus 로고
    • Airborne Digital Imaging Technology: A New Overview
    • Petrie, G.; Walker, A.S. Airborne Digital Imaging Technology: A New Overview. Photogramm. Rec.. 2007;22:203-225.
    • (2007) Photogramm. Rec. , vol.22 , pp. 203-225
    • Petrie, G.1    Walker, A.S.2
  • 20
    • 0035124583 scopus 로고    scopus 로고
    • A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in A Temperate Hardwood Forest
    • Key, T.; Warner, T.A.; McGraw, J.B.; Ann Fajvan, M. A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in A Temperate Hardwood Forest. Remote Sens. Environ.. 2001;75:100-112.
    • (2001) Remote Sens. Environ. , vol.75 , pp. 100-112
    • Key, T.1    Warner, T.A.2    McGraw, J.B.3    Ann Fajvan, M.4
  • 21
    • 79952735042 scopus 로고    scopus 로고
    • Exploring Full-Waveform LiDAR Parameters for Tree Species Classification
    • Heinzel, J.N.; Koch, B. Exploring Full-Waveform LiDAR Parameters for Tree Species Classification. Int. J. Appl. Earth Obs. Geoinf.. 2011;13:152-160.
    • (2011) Int. J. Appl. Earth Obs. Geoinf. , vol.13 , pp. 152-160
    • Heinzel, J.N.1    Koch, B.2
  • 22
    • 0037121509 scopus 로고    scopus 로고
    • Individual Tree-Based Species Classification in High Spatial Resolution Aerial Images of Forests using Fuzzy Sets
    • Brandtberg, T. Individual Tree-Based Species Classification in High Spatial Resolution Aerial Images of Forests using Fuzzy Sets. Fuzzy Sets Syst.. 2002;132:371-387.
    • (2002) Fuzzy Sets Syst. , vol.132 , pp. 371-387
    • Brandtberg, T.1
  • 23
    • 84864524799 scopus 로고    scopus 로고
    • Investigating Multiple Data Sources for Tree Species Classification in Temperate Forest and Use for Single Tree Delineation
    • Heinzel, J.; Koch, B. Investigating Multiple Data Sources for Tree Species Classification in Temperate Forest and Use for Single Tree Delineation. Int. J. Appl. Earth Obs. Geoinf.. 2012;18:101-110.
    • (2012) Int. J. Appl. Earth Obs. Geoinf. , vol.18 , pp. 101-110
    • Heinzel, J.1    Koch, B.2
  • 25
    • 34249909224 scopus 로고    scopus 로고
    • Canopy Spectra and Remote Sensing of Ashe Juniper and Associated Vegetation
    • Everitt, J.H.; Yang, C.; Johnson, H.B. Canopy Spectra and Remote Sensing of Ashe Juniper and Associated Vegetation. Environ. Monit. Assess.. 2007;130:403-413.
    • (2007) Environ. Monit. Assess. , vol.130 , pp. 403-413
    • Everitt, J.H.1    Yang, C.2    Johnson, H.B.3
  • 27
  • 28
    • 32344437344 scopus 로고    scopus 로고
    • Estimation of Tree Canopy cover in Evergreen Oak Woodlands using Remote Sensing
    • Carreiras, J.M.B.; Pereira, J.M.C.; Pereira, J.S. Estimation of Tree Canopy cover in Evergreen Oak Woodlands using Remote Sensing. For. Ecol. Manag.. 2006;223:45-53.
    • (2006) For. Ecol. Manag. , vol.223 , pp. 45-53
    • Carreiras, J.M.B.1    Pereira, J.M.C.2    Pereira, J.S.3
  • 29
    • 3343009698 scopus 로고    scopus 로고
    • Mapping Mediterranean scrub with Satellite Imagery: Biomass Estimation and Spectral Behavior
    • Calvao, T.; Palmeirim, J.M. Mapping Mediterranean scrub with Satellite Imagery: Biomass Estimation and Spectral Behavior. Int. J. Remote Sens.. 2004;25:3113-3126.
    • (2004) Int. J. Remote Sens. , vol.25 , pp. 3113-3126
    • Calvao, T.1    Palmeirim, J.M.2
  • 30
    • 84856076128 scopus 로고    scopus 로고
    • Modeling Plant Species Richness using Reflectance and Texture Data Derived from QuickBird in A Recently Burned Area of Central Spain
    • Viedma, O.; Torres, I.; Pérez, B.; Moreno, J.M. Modeling Plant Species Richness using Reflectance and Texture Data Derived from QuickBird in A Recently Burned Area of Central Spain. Remote Sens. Environ.. 2012;119:208-221.
    • (2012) Remote Sens. Environ. , vol.119 , pp. 208-221
    • Viedma, O.1    Torres, I.2    Pérez, B.3    Moreno, J.M.4
  • 31
    • 2642714955 scopus 로고    scopus 로고
    • Hot-spots Analysis for Conservation of Plant Biodiversity in the Mediterranean Basin
    • Médail, F.; Quézel, P. Hot-spots Analysis for Conservation of Plant Biodiversity in the Mediterranean Basin. Ann. Mo. Bot. Gard.. 1997;84:112-127.
    • (1997) Ann. Mo. Bot. Gard. , vol.84 , pp. 112-127
    • Médail, F.1    Quézel, P.2
  • 33
    • 84902498380 scopus 로고    scopus 로고
    • Análisis de la estructura de una población de Piruétano (Pyrus. bourgaeana, Decne) basado en técnicas de Teledetección y SIG
    • Ph.D. Thesis; University of Cordoba, Spain, Available online, accessed on 08 June 2013
    • Arenas-Castro, S. Análisis de la estructura de una población de Piruétano (Pyrus. bourgaeana, Decne) basado en técnicas de Teledetección y SIG; Ph.D. Thesis; University of Cordoba, Spain, 2012; p. 348. Available online: http://hdl.handle.net/10396/7832 (accessed on 08 June 2013).
    • (2012) , pp. 348
    • Arenas-Castro, S.1
  • 34
    • 72049129008 scopus 로고    scopus 로고
    • Seed Dispersal in the Iberian Pear Pyrus. bourgaeana: A Role for Infrequent Mutualists
    • Forests 2014, 5 1328
    • Fedriani, J.M.; Delibes, M. Seed Dispersal in the Iberian Pear Pyrus. bourgaeana: A Role for Infrequent Mutualists. Ecoscience 2009, 16, 311-321. Forests 2014, 5 1328
    • (2009) Ecoscience , vol.16 , pp. 311-321
    • Fedriani, J.M.1    Delibes, M.2
  • 35
    • 77955300823 scopus 로고    scopus 로고
    • Spatial Pattern of Adult Trees and the Mammal-Generated Seed Rain in the Iberian Pear
    • Fedriani, J.M.; Wiegand, T.; Delibes, M. Spatial Pattern of Adult Trees and the Mammal-Generated Seed Rain in the Iberian Pear. Ecography. 2010;33:545-555.
    • (2010) Ecography , vol.33 , pp. 545-555
    • Fedriani, J.M.1    Wiegand, T.2    Delibes, M.3
  • 36
    • 0029740953 scopus 로고    scopus 로고
    • The Genus Pyrus. L. (Rosaceae.) in South-West Europe and North Africa
    • Aldasoro, J.J.; Aedo, C.; Muñoz Garmendia, F. The Genus Pyrus. L. (Rosaceae.) in South-West Europe and North Africa. Bot. J. Linn. Soc.. 1996;121:143-158.
    • (1996) Bot. J. Linn. Soc. , vol.121 , pp. 143-158
    • Aldasoro, J.J.1    Aedo, C.2    Muñoz Garmendia, F.3
  • 38
    • 79955399446 scopus 로고    scopus 로고
    • Atmospheric Correction Module
    • ENVI FLAASH, Spectral Sciences Incorporated (SSI): Burlington, MA, USA
    • ENVI FLAASH. Atmospheric Correction Module; Spectral Sciences Incorporated (SSI): Burlington, MA, USA, 2009.
    • (2009)
  • 40
    • 0037138473 scopus 로고    scopus 로고
    • An Assessment of Support Vector Machines for Land Cover Classification
    • Huang, C.; Davis, L.S.; Townshend, J.R.G. An Assessment of Support Vector Machines for Land Cover Classification. Int. J. Remote Sens.. 2002;23:725-749.
    • (2002) Int. J. Remote Sens. , vol.23 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 41
    • 0141645287 scopus 로고
    • Support-Vector Networks, Machine Learning
    • Kluwer Academic Publisher: Boston, MA, USA
    • Cortes, C.; Vapnik, V. Support-Vector Networks, Machine Learning. Kluwer Academic Publisher: Boston, MA, USA, 1995.
    • (1995)
    • Cortes, C.1    Vapnik, V.2
  • 43
    • 4344614511 scopus 로고    scopus 로고
    • Classification of Hyperspectral Remote Sensing Images with Support Vector Machines
    • Melgani, F.; Bruzzone, L. Classification of Hyperspectral Remote Sensing Images with Support Vector Machines. IEEE Trans. Geosci. Remote Sens.. 2004;42:1778-1790.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 44
    • 79951516688 scopus 로고    scopus 로고
    • The Environment for Visualizing Images (ENVI)
    • Exelis Visual Information Solutions, version 4.6, Boulder, CO, USA
    • Exelis Visual Information Solutions, version 4.6; The Environment for Visualizing Images (ENVI): Boulder, CO, USA, 2010.
    • (2010)
  • 45
    • 0031451920 scopus 로고    scopus 로고
    • Atmospheric Correction of Visible to Middle-Infrared EOS-MODIS Data over Land Surfaces: Background, Operational Algorithm and Validation
    • Vermote, E.F.; El Saleous, N.; Justice, C.O.; Kaufman, Y.J.; Privette, J.L.; Remer, L.; Roger, J.C.; Tanré, D. Atmospheric Correction of Visible to Middle-Infrared EOS-MODIS Data over Land Surfaces: Background, Operational Algorithm and Validation. J. Geophys. Res.. 1997;102:17131-17141.
    • (1997) J. Geophys. Res. , vol.102 , pp. 17131-17141
    • Vermote, E.F.1    El Saleous, N.2    Justice, C.O.3    Kaufman, Y.J.4    Privette, J.L.5    Remer, L.6    Roger, J.C.7    Tanré, D.8
  • 46
    • 84902518605 scopus 로고    scopus 로고
    • Radiometric Radiance Conversion for QB Data; Digitalglobe, Inc
    • Digitalglobe, Inc, Longmont, CO, USA
    • Digitalglobe, Inc. Radiometric Radiance Conversion for QB Data; Digitalglobe, Inc.: Longmont, CO, USA, 2007.
    • (2007)
  • 47
    • 57649120661 scopus 로고    scopus 로고
    • Absolute Spectroradiometric Calibration of the ADS40 Sensor
    • Beisl, U. Absolute Spectroradiometric Calibration of the ADS40 Sensor. Int. Arch. Photogramm. Remote Sens.. 2006;36:1-5.
    • (2006) Int. Arch. Photogramm. Remote Sens. , vol.36 , pp. 1-5
    • Beisl, U.1
  • 48
    • 0003914342 scopus 로고    scopus 로고
    • Assessing the Accuracy of Remotely Sensed Data-Principles and Practices
    • CRC Press, Taylor & Francis Group: Boca Ratón, FL, USA
    • Congalton, R.G.; Green, K. Assessing the Accuracy of Remotely Sensed Data-Principles and Practices; CRC Press, Taylor & Francis Group: Boca Ratón, FL, USA, 2009.
    • (2009)
    • Congalton, R.G.1    Green, K.2
  • 49
    • 70449338714 scopus 로고    scopus 로고
    • Sample Size Determination for Image Classification Accuracy Assessment and Comparison
    • Foody, G.M. Sample Size Determination for Image Classification Accuracy Assessment and Comparison. Int. J. Remote Sens.. 2009;30:5273-5291.
    • (2009) Int. J. Remote Sens. , vol.30 , pp. 5273-5291
    • Foody, G.M.1
  • 50
    • 0032010537 scopus 로고    scopus 로고
    • Progressive Two-Class Decision Classifier for Optimization of Class Discriminations
    • Jia, X.P.; Richards, J.A. Progressive Two-Class Decision Classifier for Optimization of Class Discriminations. Remote Sens. Environ.. 1998;63:289-297.
    • (1998) Remote Sens. Environ. , vol.63 , pp. 289-297
    • Jia, X.P.1    Richards, J.A.2
  • 51
  • 52
    • 3042654673 scopus 로고    scopus 로고
    • A Relative Evaluation of Multiclass Image Classification by Support Vector Machines
    • Forests 2014, 5 1329
    • Foody, G.M.; Mathur, A. A Relative Evaluation of Multiclass Image Classification by Support Vector Machines. IEEE Trans. Geosci. Remote Sens. 2004, 42, 1335-1343. Forests 2014, 5 1329
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , pp. 1335-1343
    • Foody, G.M.1    Mathur, A.2
  • 53
    • 0036505670 scopus 로고    scopus 로고
    • A Comparison of Methods for Multiclass Support Vector Machines
    • Hsu, C.W.; Lin, C.J. A Comparison of Methods for Multiclass Support Vector Machines. IEEE Trans. Neural Netw.. 2002;13:415-425.
    • (2002) IEEE Trans. Neural Netw. , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 54
    • 44649165024 scopus 로고    scopus 로고
    • Statistical Pattern Recognition in Remote Sensing
    • Chen, C.H.; Ho, P.G.P. Statistical Pattern Recognition in Remote Sensing. Pattern Recognit.. 2008;41:2731-2741.
    • (2008) Pattern Recognit. , vol.41 , pp. 2731-2741
    • Chen, C.H.1    Ho, P.G.P.2
  • 55
    • 0031255580 scopus 로고    scopus 로고
    • Selecting and Interpreting Measures of Thematic Classification Accuracy
    • Stehman, S.V. Selecting and Interpreting Measures of Thematic Classification Accuracy. Remote Sens. Environ.. 1997;62:77-89.
    • (1997) Remote Sens. Environ. , vol.62 , pp. 77-89
    • Stehman, S.V.1
  • 56
    • 0026278621 scopus 로고
    • A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data
    • Congalton, R.G. A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sens. Environ.. 1991;37:35-46.
    • (1991) Remote Sens. Environ. , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 57
    • 79956324768 scopus 로고    scopus 로고
    • Death to Kappa: Birth of Quantity Disagreement and Allocation Disagreement for Accuracy Assessment
    • Pontius, R.G., Jr.; Millones, M. Death to Kappa: Birth of Quantity Disagreement and Allocation Disagreement for Accuracy Assessment. Int. J. Remote Sens.. 2011;32:4407-4429.
    • (2011) Int. J. Remote Sens. , vol.32 , pp. 4407-4429
    • Pontius Jr., R.G.1    Millones, M.2
  • 58
    • 84947574920 scopus 로고    scopus 로고
    • An Introduction to Categorical Data Analysis
    • 2nd ed.; Wiley-Interscience: Hoboken, NJ, USA
    • Agresti, A. An Introduction to Categorical Data Analysis, 2nd ed.; Wiley-Interscience: Hoboken, NJ, USA, 2007.
    • (2007)
    • Agresti, A.1
  • 59
    • 33745115697 scopus 로고    scopus 로고
    • Comparing Accuracy Assessments to Infer Superiority of Image Classification Methods
    • De Leeuw, J.; Jia, H.; Yang, L.; Liu, X.; Schmidt, K.; Skidmore, A.K. Comparing Accuracy Assessments to Infer Superiority of Image Classification Methods. Int. J. Remote Sens.. 2006;27:223-232.
    • (2006) Int. J. Remote Sens. , vol.27 , pp. 223-232
    • De Leeuw, J.1    Jia, H.2    Yang, L.3    Liu, X.4    Schmidt, K.5    Skidmore, A.K.6
  • 60
    • 3042661357 scopus 로고    scopus 로고
    • Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy
    • Foody, G.M. Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy. Photogramm. Eng. Remote Sens.. 2004;70:627-633.
    • (2004) Photogramm. Eng. Remote Sens. , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 61
    • 0035425226 scopus 로고    scopus 로고
    • New Methods for Dynamic Mosaicking
    • Nicolas, H. New Methods for Dynamic Mosaicking. IEEE Trans. Image Process.. 2001;10:1239-1251.
    • (2001) IEEE Trans. Image Process. , vol.10 , pp. 1239-1251
    • Nicolas, H.1
  • 62
    • 67650486398 scopus 로고    scopus 로고
    • An Efficient Image-Mosaicing Method Based on Multifeature Matching
    • Zagrouba, E.; Barhoumi, W.; Amri, S. An Efficient Image-Mosaicing Method Based on Multifeature Matching. Mach. Vis. Appl.. 2009;20:139-162.
    • (2009) Mach. Vis. Appl. , vol.20 , pp. 139-162
    • Zagrouba, E.1    Barhoumi, W.2    Amri, S.3
  • 63
    • 13644256120 scopus 로고    scopus 로고
    • Support Vector Machines for Classification in Remote Sensing
    • Pal, M.; Mather, P.M. Support Vector Machines for Classification in Remote Sensing. Int. J. Remote Sens.. 2005;26:1007-1011.
    • (2005) Int. J. Remote Sens. , vol.26 , pp. 1007-1011
    • Pal, M.1    Mather, P.M.2
  • 65
    • 35848944847 scopus 로고    scopus 로고
    • Mapping Broom Snakeweed through Image Analysis of Color-Infrared Photography and Digital Imagery
    • Everitt, J.H.; Yang, C. Mapping Broom Snakeweed through Image Analysis of Color-Infrared Photography and Digital Imagery. Environ. Monit. Assess.. 2007;134:287-292.
    • (2007) Environ. Monit. Assess. , vol.134 , pp. 287-292
    • Everitt, J.H.1    Yang, C.2
  • 66
    • 0037466369 scopus 로고    scopus 로고
    • Spectral Discrimination of Vegetation Types in A Coastal Wetland
    • Schmidt, K.S.; Skidmore, A.K. Spectral Discrimination of Vegetation Types in A Coastal Wetland. Remote Sens. Environ.. 2003;85:92-108.
    • (2003) Remote Sens. Environ. , vol.85 , pp. 92-108
    • Schmidt, K.S.1    Skidmore, A.K.2
  • 67
    • 34548380391 scopus 로고    scopus 로고
    • Single Tree Species Classification with a Hypothetical Multi-Spectral Satellite
    • Larsen, M. Single Tree Species Classification with a Hypothetical Multi-Spectral Satellite. Remote Sens. Environ.. 2007;110:523-532.
    • (2007) Remote Sens. Environ. , vol.110 , pp. 523-532
    • Larsen, M.1
  • 69
    • 0347948379 scopus 로고    scopus 로고
    • Exploitation of Very High Resolution Satellite Data for Tree Species Identification
    • Forests 2014, 5 1330
    • Carleer, A.; Wolff, E. Exploitation of Very High Resolution Satellite Data for Tree Species Identification. Photogramm. Eng. Remote Sens. 2004, 70, 135-140. Forests 2014, 5 1330
    • (2004) Photogramm. Eng. Remote Sens , vol.70 , pp. 135-140
    • Carleer, A.1    Wolff, E.2
  • 70
    • 1642528357 scopus 로고    scopus 로고
    • Object-Based Classification of Remote Sensing Data for Change Detection
    • Walter, V. Object-Based Classification of Remote Sensing Data for Change Detection. ISPRS J. Photogramm. Remote Sens.. 2004;58:225-238.
    • (2004) ISPRS J. Photogramm. Remote Sens. , vol.58 , pp. 225-238
    • Walter, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.