-
1
-
-
0023163717
-
An assessment of landsat MSS and TM data for urban and near-urban land-cover digital classification
-
[CrossRef]
-
Haack, B.; Bryant, N.; Adams, S. An assessment of landsat MSS and TM data for urban and near-urban land-cover digital classification. Remote Sens. Environ. 1987, 21, 201-213. [CrossRef]
-
(1987)
Remote Sens. Environ
, vol.21
, pp. 201-213
-
-
Haack, B.1
Bryant, N.2
Adams, S.3
-
2
-
-
0024855593
-
Monitoring urban land cover changes at the urban fringe from SPOT HRV imagery in south-east England
-
[CrossRef]
-
Quarmby, N.A.; Cushnie, J.L. Monitoring urban land cover changes at the urban fringe from SPOT HRV imagery in south-east England. Int. J. Remote Sens. 1989, 10, 953-963. [CrossRef]
-
(1989)
Int. J. Remote Sens
, vol.10
, pp. 953-963
-
-
Quarmby, N.A.1
Cushnie, J.L.2
-
3
-
-
0037429468
-
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
-
[CrossRef]
-
Zha, Y.; Gao, J.; Ni, S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 2003, 24, 583-594. [CrossRef]
-
(2003)
Int. J. Remote Sens
, vol.24
, pp. 583-594
-
-
Zha, Y.1
Gao, J.2
Ni, S.3
-
4
-
-
3242663578
-
A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images
-
[CrossRef]
-
Choi, J. A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. Int. J. Remote Sens. 2004, 25, 2687-2700. [CrossRef]
-
(2004)
Int. J. Remote Sens
, vol.25
, pp. 2687-2700
-
-
Choi, J.1
-
5
-
-
25844497537
-
Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing
-
[CrossRef]
-
Yuan, F.; Sawaya, K.E.; Loeffelholz, B.C.; Bauer, M.E. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sens. Environ. 2005, 98, 317-328. [CrossRef]
-
(2005)
Remote Sens. Environ
, vol.98
, pp. 317-328
-
-
Yuan, F.1
Sawaya, K.E.2
Loeffelholz, B.C.3
Bauer, M.E.4
-
6
-
-
36348971282
-
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images
-
[CrossRef]
-
Zhong, P.; Wang, R. A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3978-3988. [CrossRef]
-
(2007)
IEEE Trans. Geosci. Remote Sens
, vol.45
, pp. 3978-3988
-
-
Zhong, P.1
Wang, R.2
-
7
-
-
0028498930
-
Knowledge-based classification of polarimetric SAR images
-
[CrossRef]
-
Pierce, L.E.; Ulaby, F.T.; Sarabandi, K.; Dobson, M.C. Knowledge-based classification of polarimetric SAR images. IEEE Trans. Geosci. Remote Sens. 1994, 32, 1081-1086. [CrossRef]
-
(1994)
IEEE Trans. Geosci. Remote Sens
, vol.32
, pp. 1081-1086
-
-
Pierce, L.E.1
Ulaby, F.T.2
Sarabandi, K.3
Dobson, M.C.4
-
8
-
-
33750053276
-
Discriminating urban environments using multiscale texture and multiple SAR images
-
[CrossRef]
-
Dell'Acqua, F.; Gamba, P. Discriminating urban environments using multiscale texture and multiple SAR images. Int. J. Remote Sens. 2006, 27, 3797-3812. [CrossRef]
-
(2006)
Int. J. Remote Sens
, vol.27
, pp. 3797-3812
-
-
Dell'Acqua, F.1
Gamba, P.2
-
9
-
-
0037244288
-
Texture-based characterization of urban environments on satellite SAR images
-
[CrossRef]
-
Dell'Acqua, F.; Gamba, P. Texture-based characterization of urban environments on satellite SAR images. IEEE Trans. Geosci. Remote Sens. 2003, 41, 153-159. [CrossRef]
-
(2003)
IEEE Trans. Geosci. Remote Sens
, vol.41
, pp. 153-159
-
-
Dell'Acqua, F.1
Gamba, P.2
-
10
-
-
53849113374
-
Radar Imaging of Urban Areas by Means of Very High-Resolution SAR and Interferometric SAR
-
[CrossRef]
-
Brenner, A.R.; Roessing, L. Radar Imaging of Urban Areas by Means of Very High-Resolution SAR and Interferometric SAR. IEEE Trans. Geosci. Remote Sens. 2008, 46, 2971-2982. [CrossRef]
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, pp. 2971-2982
-
-
Brenner, A.R.1
Roessing, L.2
-
11
-
-
84868092003
-
Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach
-
[CrossRef]
-
Niu, X.; Ban, Y. Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach. Int. J. Remote Sens. 2013, 34, 1-26. [CrossRef]
-
(2013)
Int. J. Remote Sens
, vol.34
, pp. 1-26
-
-
Niu, X.1
Ban, Y.2
-
12
-
-
84899991382
-
Improving the Accuracy of Urban Land Cover Classification Using Radarsat-2 PolSAR Data
-
[CrossRef]
-
Salehi, M.; Sahebi, M.R.; Maghsoudi, Y. Improving the Accuracy of Urban Land Cover Classification Using Radarsat-2 PolSAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 1394-1401. [CrossRef]
-
(2014)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.7
, pp. 1394-1401
-
-
Salehi, M.1
Sahebi, M.R.2
Maghsoudi, Y.3
-
13
-
-
84999286989
-
Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks
-
[CrossRef]
-
Zhou, Y.; Wang, H.; Xu, F.; Jin, Y. Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks. IEEE Geosci. Remote Sens. Lett. 2016, 13, 1935-1939. [CrossRef]
-
(2016)
IEEE Geosci. Remote Sens. Lett
, vol.13
, pp. 1935-1939
-
-
Zhou, Y.1
Wang, H.2
Xu, F.3
Jin, Y.4
-
14
-
-
0141905889
-
Texture analysis and classification of ERS SAR images for map updating of urban areas in The Netherlands
-
[CrossRef]
-
Dekker, R.J. Texture analysis and classification of ERS SAR images for map updating of urban areas in The Netherlands. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1950-1958. [CrossRef]
-
(2003)
IEEE Trans. Geosci. Remote Sens
, vol.41
, pp. 1950-1958
-
-
Dekker, R.J.1
-
15
-
-
46249127021
-
Textural and local spatial statistics for the object-oriented classification of urban areas using high resolution imagery
-
[CrossRef]
-
Su, W.; Li, J.; Chen, Y.; Liu, Z.; Zhang, J.; Low, T.M.; Suppiah, I.; Hashim, S.A.M. Textural and local spatial statistics for the object-oriented classification of urban areas using high resolution imagery. Int. J. Remote Sens. 2008, 29, 3105-3117. [CrossRef]
-
(2008)
Int. J. Remote Sens
, vol.29
, pp. 3105-3117
-
-
Su, W.1
Li, J.2
Chen, Y.3
Liu, Z.4
Zhang, J.5
Low, T.M.6
Suppiah, I.7
Hashim, S.A.M.8
-
16
-
-
0041928041
-
Land-cover classification using multitemporal ERS-1/2 InSAR data
-
[CrossRef]
-
Engdahl, M.E.; Hyyppa, J.M. Land-cover classification using multitemporal ERS-1/2 InSAR data. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1620-1628. [CrossRef]
-
(2003)
IEEE Trans. Geosci. Remote Sens
, vol.41
, pp. 1620-1628
-
-
Engdahl, M.E.1
Hyyppa, J.M.2
-
17
-
-
0041840247
-
Land cover classification in the Argentine Pampas using multi-temporal Landsat TM data
-
[CrossRef]
-
Guerschman, J.P.; Paruelo, J.M.; Bella, C.D.; Giallorenzi, M.C.; Pacin, F. Land cover classification in the Argentine Pampas using multi-temporal Landsat TM data. Int. J. Remote Sens. 2003, 24, 3381-3402. [CrossRef]
-
(2003)
Int. J. Remote Sens
, vol.24
, pp. 3381-3402
-
-
Guerschman, J.P.1
Paruelo, J.M.2
Bella, C.D.3
Giallorenzi, M.C.4
Pacin, F.5
-
18
-
-
44049084715
-
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
-
[CrossRef]
-
Camps-Valls, G.; Gomez-Chova, L.; Munoz-Mari, J.; Rojo-Alvarez, J.L.; Martinez-Ramon, M. Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1822-1835. [CrossRef]
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, pp. 1822-1835
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munoz-Mari, J.3
Rojo-Alvarez, J.L.4
Martinez-Ramon, M.5
-
19
-
-
84878372022
-
Urban vegetation classification: Benefits of multitemporal RapidEye satellite data
-
[CrossRef]
-
Tigges, J.; Lakes, T.; Hostert, P. Urban vegetation classification: Benefits of multitemporal RapidEye satellite data. Remote Sens. Environ. 2013, 136, 66-75. [CrossRef]
-
(2013)
Remote Sens. Environ
, vol.136
, pp. 66-75
-
-
Tigges, J.1
Lakes, T.2
Hostert, P.3
-
20
-
-
45849101525
-
Classifying Multilevel Imagery from SAR and Optical Sensors by Decision Fusion
-
[CrossRef]
-
Waske, B.; van der Linden, S. Classifying Multilevel Imagery from SAR and Optical Sensors by Decision Fusion. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1457-1466. [CrossRef]
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, pp. 1457-1466
-
-
Waske, B.1
van der Linden, S.2
-
21
-
-
79958729424
-
Fusing high-resolution SAR and optical imagery for improved urban land cover study and classification
-
[CrossRef]
-
Amarsaikhan, D.; Blotevogel, H.H.; Genderen, J.L.; van Ganzorig, M.; Gantuya, R.; Nergui, B. Fusing high-resolution SAR and optical imagery for improved urban land cover study and classification. Int. J. Image Data Fusion 2010, 1, 83-97. [CrossRef]
-
(2010)
Int. J. Image Data Fusion
, vol.1
, pp. 83-97
-
-
Amarsaikhan, D.1
Blotevogel, H.H.2
Genderen, J.L.3
van Ganzorig, M.4
Gantuya, R.5
Nergui, B.6
-
22
-
-
56449127948
-
Rapid Urban Mapping Using SAR/Optical Imagery Synergy
-
[CrossRef] [PubMed]
-
Corbane, C.; Faure, J.-F.; Baghdadi, N.; Villeneuve, N.; Petit, M. Rapid Urban Mapping Using SAR/Optical Imagery Synergy. Sensors 2008, 8, 7125-7143. [CrossRef] [PubMed]
-
(2008)
Sensors
, vol.8
, pp. 7125-7143
-
-
Corbane, C.1
Faure, J.-F.2
Baghdadi, N.3
Villeneuve, N.4
Petit, M.5
-
23
-
-
47849094269
-
Urban Mapping Using Coarse SAR and Optical Data: Outcome of the 2007 GRSS Data Fusion Contest
-
[CrossRef]
-
Pacifici, F.; Frate, F.D.; Emery, W.J.; Gamba, P.; Chanussot, J. Urban Mapping Using Coarse SAR and Optical Data: Outcome of the 2007 GRSS Data Fusion Contest. IEEE Geosci. Remote Sens. Lett. 2008, 5, 331-335. [CrossRef]
-
(2008)
IEEE Geosci. Remote Sens. Lett
, vol.5
, pp. 331-335
-
-
Pacifici, F.1
Frate, F.D.2
Emery, W.J.3
Gamba, P.4
Chanussot, J.5
-
24
-
-
84988505732
-
Fusion of SAR and Optical Data for Urban Land Cover Mapping and Change Detection
-
Weng, Q., Ed.; CRC Press: Boca Raton, FL, USA. [CrossRef]
-
Ban, Y.; Yousif, O.; Hu, H. Fusion of SAR and Optical Data for Urban Land Cover Mapping and Change Detection. In Global Urban Monitoring and Assessment through Earth Observation; Weng, Q., Ed.; CRC Press: Boca Raton, FL, USA, 2014; pp. 353-386. [CrossRef]
-
(2014)
Global Urban Monitoring and Assessment through Earth Observation;
, pp. 353-386
-
-
Ban, Y.1
Yousif, O.2
Hu, H.3
-
25
-
-
79957651608
-
Multi-sensor data fusion for urban area classification
-
In Munich, Germany, 11-13 April; [CrossRef]
-
Makarau, A.; Palubinskas, G.; Reinartz, P. Multi-sensor data fusion for urban area classification. In Proceedings of the 2011 Joint Urban Remote Sensing Event, Munich, Germany, 11-13 April 2011; pp. 21-24. [CrossRef]
-
(2011)
Proceedings of the 2011 Joint Urban Remote Sensing Event
, pp. 21-24
-
-
Makarau, A.1
Palubinskas, G.2
Reinartz, P.3
-
26
-
-
85027938675
-
Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification
-
[CrossRef]
-
Zhang, H.; Lin, H.; Li, Y. Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification. IEEE Geosci. Remote Sens. Lett. 2015, 12, 1061-1065. [CrossRef]
-
(2015)
IEEE Geosci. Remote Sens. Lett
, vol.12
, pp. 1061-1065
-
-
Zhang, H.1
Lin, H.2
Li, Y.3
-
27
-
-
84888083985
-
Improving the impervious surface estimation with combined use of optical and SAR remote sensing images
-
[CrossRef]
-
Zhang, Y.; Zhang, H.; Lin, H. Improving the impervious surface estimation with combined use of optical and SAR remote sensing images. Remote Sens. Environ. 2014, 141, 155-167. [CrossRef]
-
(2014)
Remote Sens. Environ
, vol.141
, pp. 155-167
-
-
Zhang, Y.1
Zhang, H.2
Lin, H.3
-
28
-
-
84855430126
-
Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data
-
[CrossRef]
-
Zhu, Z.; Woodcock, C.E.; Rogan, J.; Kellndorfer, J. Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data. Remote Sens. Environ. Remote Sens. Urban Environ. 2012, 117, 72-82. [CrossRef]
-
(2012)
Remote Sens. Environ. Remote Sens. Urban Environ
, vol.117
, pp. 72-82
-
-
Zhu, Z.1
Woodcock, C.E.2
Rogan, J.3
Kellndorfer, J.4
-
29
-
-
77951132822
-
Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: Object-based and knowledge-based approach
-
[CrossRef]
-
Ban, Y.; Hu, H.; Rangel, I.M. Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach. Int. J. Remote Sens. 2010, 31, 1391-1410. [CrossRef]
-
(2010)
Int. J. Remote Sens
, vol.31
, pp. 1391-1410
-
-
Ban, Y.1
Hu, H.2
Rangel, I.M.3
-
30
-
-
79952070569
-
Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
-
[CrossRef]
-
Myint, S.W.; Gober, P.; Brazel, A.; Grossman-Clarke, S.; Weng, Q. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sens. Environ. 2011, 115, 1145-1161. [CrossRef]
-
(2011)
Remote Sens. Environ
, vol.115
, pp. 1145-1161
-
-
Myint, S.W.1
Gober, P.2
Brazel, A.3
Grossman-Clarke, S.4
Weng, Q.5
-
31
-
-
0036821665
-
Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
-
[CrossRef]
-
Bruce, L.M.; Koger, C.H.; Li, J. Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction. IEEE Trans. Geosci. Remote Sens. 2002, 40, 2331-2338. [CrossRef]
-
(2002)
IEEE Trans. Geosci. Remote Sens
, vol.40
, pp. 2331-2338
-
-
Bruce, L.M.1
Koger, C.H.2
Li, J.3
-
32
-
-
0028467206
-
Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
-
[CrossRef]
-
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. [CrossRef]
-
(1994)
IEEE Trans. Geosci. Remote Sens
, vol.32
, pp. 779-785
-
-
Harsanyi, J.C.1
Chang, C.-I.2
-
33
-
-
84864510265
-
A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery
-
[CrossRef]
-
Laliberte, A.S.; Browning, D.M.; Rango, A. A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery. Int. J. Appl. Earth Obs. Geoinf. 2012, 15, 70-78. [CrossRef]
-
(2012)
Int. J. Appl. Earth Obs. Geoinf
, vol.15
, pp. 70-78
-
-
Laliberte, A.S.1
Browning, D.M.2
Rango, A.3
-
34
-
-
0035573991
-
Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images
-
In IEEE International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), Sydney, Australia, 9-13 July 2001; [CrossRef]
-
Lennon, M.; Mercier, G.; Mouchot, M.C.; Hubert-Moy, L. Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images. In Proceedings of the IGARSS 2001. Scanning the Present and Resolving the Future. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), Sydney, Australia, 9-13 July 2001; pp. 2893-2895. [CrossRef]
-
(2001)
Proceedings of the IGARSS 2001. Scanning the Present and Resolving the Future
, pp. 2893-2895
-
-
Lennon, M.1
Mercier, G.2
Mouchot, M.C.3
Hubert-Moy, L.4
-
35
-
-
85032778398
-
Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner]
-
[CrossRef]
-
Ren, J.; Zabalza, J.; Marshall, S.; Zheng, J. Effective Feature Extraction and Data Reduction in Remote Sensing Using Hyperspectral Imaging [Applications Corner]. IEEE Signal Process. Mag. 2014, 31, 149-154. [CrossRef]
-
(2014)
IEEE Signal Process. Mag
, vol.31
, pp. 149-154
-
-
Ren, J.1
Zabalza, J.2
Marshall, S.3
Zheng, J.4
-
36
-
-
34548435161
-
Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium
-
[CrossRef]
-
Van Coillie, F.M.B.; Verbeke, L.P.C.; De Wulf, R.R. Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium. Remote Sens. Environ. For. Spec. Issue 2007, 110, 476-487. [CrossRef]
-
(2007)
Remote Sens. Environ. For. Spec. Issue
, vol.110
, pp. 476-487
-
-
van Coillie, F.M.B.1
Verbeke, L.P.C.2
de Wulf, R.R.3
-
37
-
-
33745561205
-
An Introduction to Variable and Feature Selection
-
Guyon, I.; Elisseeff, A. An Introduction to Variable and Feature Selection. J. Mach. Learn. Res. 2003, 3, 1157-1182.
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
38
-
-
0027334854
-
A comparative analysis of standardised and unstandardised Principal Components Analysis in remote sensing
-
[CrossRef]
-
Eklundh, L.; Singh, A. A comparative analysis of standardised and unstandardised Principal Components Analysis in remote sensing. Int. J. Remote Sens. 1993, 14, 1359-1370. [CrossRef]
-
(1993)
Int. J. Remote Sens
, vol.14
, pp. 1359-1370
-
-
Eklundh, L.1
Singh, A.2
-
39
-
-
35348882054
-
Modified Fisher's Linear Discriminant Analysis for Hyperspectral Imagery
-
[CrossRef]
-
Du, Q. Modified Fisher's Linear Discriminant Analysis for Hyperspectral Imagery. IEEE Geosci. Remote Sens. Lett. 2007, 4, 503-507. [CrossRef]
-
(2007)
IEEE Geosci. Remote Sens. Lett
, vol.4
, pp. 503-507
-
-
Du, Q.1
-
41
-
-
0242288799
-
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
-
[CrossRef]
-
Cao, L.J.; Chua, K.S.; Chong, W.K.; Lee, H.P.; Gu, Q.M. A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing 2003, 55, 321-336. [CrossRef]
-
(2003)
Neurocomputing
, vol.55
, pp. 321-336
-
-
Cao, L.J.1
Chua, K.S.2
Chong, W.K.3
Lee, H.P.4
Gu, Q.M.5
-
42
-
-
85040227605
-
Feature Selection: A Data Perspective
-
[CrossRef]
-
Li, J.; Cheng, K.; Wang, S.; Morstatter, F.; Trevino, R.P.; Tang, J.; Liu, H. Feature Selection: A Data Perspective. ACM Comput. Surv. 2017, 50, 1-45. [CrossRef]
-
(2017)
ACM Comput. Surv
, vol.50
, pp. 1-45
-
-
Li, J.1
Cheng, K.2
Wang, S.3
Morstatter, F.4
Trevino, R.P.5
Tang, J.6
Liu, H.7
-
43
-
-
85021781951
-
Google Earth Engine: Planetary-scale geospatial analysis for everyone
-
[CrossRef]
-
Gorelick, N.; Hancher, M.; Dixon, M.; Ilyushchenko, S.; Thau, D.; Moore, R. Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 2017, 202, 18-27. [CrossRef]
-
(2017)
Remote Sens. Environ
, vol.202
, pp. 18-27
-
-
Gorelick, N.1
Hancher, M.2
Dixon, M.3
Ilyushchenko, S.4
Thau, D.5
Moore, R.6
-
44
-
-
84892658493
-
Scikit-learn: Machine Learning in Python
-
arXiv:1201.0490
-
Pedregosa, F.; Varoquaux, G.; Gramfort, A.; Michel, V.; Thirion, B.; Grisel, O.; Blondel, M.; Müller, A.; Nothman, J.; Louppe, G.; et al. Scikit-learn: Machine Learning in Python. arXiv 2012, arXiv:1201.0490.
-
(2012)
ArXiv
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Müller, A.8
Nothman, J.9
Louppe, G.10
-
45
-
-
85048193891
-
API design for machine learning software: Experiences from the scikit-learn project
-
arXiv:1309.0238
-
Buitinck, L.; Louppe, G.; Blondel, M.; Pedregosa, F.; Mueller, A.; Grisel, O.; Niculae, V.; Prettenhofer, P.; Gramfort, A.; Grobler, J.; et al. API design for machine learning software: experiences from the scikit-learn project. arXiv 2013, arXiv:1309.0238.
-
(2013)
ArXiv
-
-
Buitinck, L.1
Louppe, G.2
Blondel, M.3
Pedregosa, F.4
Mueller, A.5
Grisel, O.6
Niculae, V.7
Prettenhofer, P.8
Gramfort, A.9
Grobler, J.10
-
46
-
-
79951950272
-
Support vector machines in remote sensing: A review
-
[CrossRef]
-
Mountrakis, G.; Im, J.; Ogole, C. Support vector machines in remote sensing: A review. ISPRS J. Photogramm. Remote Sens. 2011, 66, 247-259. [CrossRef]
-
(2011)
ISPRS J. Photogramm. Remote Sens
, vol.66
, pp. 247-259
-
-
Mountrakis, G.1
Im, J.2
Ogole, C.3
-
47
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
[CrossRef]
-
Melgani, F.; Bruzzone, L. Classification of hyperspectral remote sensing images with support vector machines. IEEE Trans. Geosci. Remote Sens. 2004, 42, 1778-1790. [CrossRef]
-
(2004)
IEEE Trans. Geosci. Remote Sens
, vol.42
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
48
-
-
77958017904
-
SVM-and MRF-Based Method for Accurate Classification of Hyperspectral Images
-
[CrossRef]
-
Tarabalka, Y.; Fauvel, M.; Chanussot, J.; Benediktsson, J.A. SVM-and MRF-Based Method for Accurate Classification of Hyperspectral Images. IEEE Geosci. Remote Sens. Lett. 2010, 7, 736-740. [CrossRef]
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, pp. 736-740
-
-
Tarabalka, Y.1
Fauvel, M.2
Chanussot, J.3
Benediktsson, J.A.4
-
49
-
-
84871748730
-
An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery
-
[CrossRef]
-
Huang, X.; Zhang, L. An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery. IEEE Trans. Geosci. Remote Sens. 2013, 51, 257-272. [CrossRef]
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, pp. 257-272
-
-
Huang, X.1
Zhang, L.2
-
50
-
-
33846007269
-
Multiple support vector machines for land cover change detection: An application for mapping urban extensions
-
[CrossRef]
-
Nemmour, H.; Chibani, Y. Multiple support vector machines for land cover change detection: An application for mapping urban extensions. ISPRS J. Photogramm. Remote Sens. 2006, 61, 125-133. [CrossRef]
-
(2006)
ISPRS J. Photogramm. Remote Sens
, vol.61
, pp. 125-133
-
-
Nemmour, H.1
Chibani, Y.2
-
51
-
-
45849126857
-
A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure
-
[CrossRef]
-
Bovolo, F.; Bruzzone, L.; Marconcini, M. A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure. IEEE Trans. Geosci. Remote Sens. 2008, 46, 2070-2082. [CrossRef]
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, pp. 2070-2082
-
-
Bovolo, F.1
Bruzzone, L.2
Marconcini, M.3
-
52
-
-
84863479380
-
Supervised change detection in VHR images using contextual information and support vector machines
-
[CrossRef]
-
Volpi, M.; Tuia, D.; Bovolo, F.; Kanevski, M.; Bruzzone, L. Supervised change detection in VHR images using contextual information and support vector machines. Int. J. Appl. Earth Obs. Geoinf. 2013, 20, 77-85. [CrossRef]
-
(2013)
Int. J. Appl. Earth Obs. Geoinf
, vol.20
, pp. 77-85
-
-
Volpi, M.1
Tuia, D.2
Bovolo, F.3
Kanevski, M.4
Bruzzone, L.5
-
53
-
-
53349153427
-
Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM
-
[CrossRef]
-
Zheng, S.; Shi, W.; Liu, J.; Tian, J. Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1313-1322. [CrossRef]
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, pp. 1313-1322
-
-
Zheng, S.1
Shi, W.2
Liu, J.3
Tian, J.4
-
54
-
-
41549100388
-
Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
-
Spatial Concepts for Knowledge-driven Remote Sensing; Blaschke, T., Lang, S., Hay, G.J., Eds.; Springer: Berlin/Heidelnberg, Germany; Chapter 1.4. [CrossRef]
-
Hay, G.J.; Castilla, G. Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline. In Object-Based Image Analysis; Spatial Concepts for Knowledge-driven Remote Sensing; Blaschke, T., Lang, S., Hay, G.J., Eds.; Springer: Berlin/Heidelnberg, Germany, 2008; Chapter 1.4. [CrossRef]
-
(2008)
Object-Based Image Analysis;
-
-
Hay, G.J.1
Castilla, G.2
-
55
-
-
65349122870
-
-
Springer: Berlin/Heidelberg, Germany. [CrossRef]
-
Blaschke, T.; Lang, S.; Hay, G.J. Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Lecture Notes in Geoinformation and Cartography; Springer: Berlin/Heidelberg, Germany, 2008; pp. 75-89. [CrossRef]
-
(2008)
Object-Based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Lecture Notes in Geoinformation and Cartography;
, pp. 75-89
-
-
Blaschke, T.1
Lang, S.2
Hay, G.J.3
-
56
-
-
85021219961
-
A review of supervised object-based land cover classification
-
[CrossRef]
-
Ma, L.; Li, M.; Ma, X.; Cheng, L.; Du, P.; Liu, Y. A review of supervised object-based land cover classification. ISPRS J. Photogramm. Remote Sens. 2017, 130, 277-293. [CrossRef]
-
(2017)
ISPRS J. Photogramm. Remote Sens
, vol.130
, pp. 277-293
-
-
Ma, L.1
Li, M.2
Ma, X.3
Cheng, L.4
Du, P.5
Liu, Y.6
-
57
-
-
79953182966
-
Object-based crop identification using multiple vegetation indices, textural features and crop phenology
-
[CrossRef]
-
Pena-Barragán, J.M.; Ngugi, M.K.; Plant, R.E.; Six, J. Object-based crop identification using multiple vegetation indices, textural features and crop phenology. Remote Sens. Environ. 2011, 115, 1301-1316. [CrossRef]
-
(2011)
Remote Sens. Environ
, vol.115
, pp. 1301-1316
-
-
Pena-Barragán, J.M.1
Ngugi, M.K.2
Plant, R.E.3
Six, J.4
-
58
-
-
85074195234
-
Monitoring of Urbanization and Analysis of Environmental Impact in Stockholm with Sentinel-2A and SPOT-5 Multispectral Data
-
[CrossRef]
-
Furberg, D.; Ban, Y.; Nascetti, A. Monitoring of Urbanization and Analysis of Environmental Impact in Stockholm with Sentinel-2A and SPOT-5 Multispectral Data. Remote Sens. 2019, 11, 2048. [CrossRef]
-
(2019)
Remote Sens
, vol.11
, pp. 2048
-
-
Furberg, D.1
Ban, Y.2
Nascetti, A.3
-
59
-
-
85020179025
-
EO4Urban: Sentinel-1A SAR and Sentinel-2A MSI data for global urban services
-
Dubai, United Arab Emirates, 6-8 March; [CrossRef]
-
Ban, Y.; Webber, L.; Gamba, P.; Paganini, M. EO4Urban: Sentinel-1A SAR and Sentinel-2A MSI data for global urban services. In Proceedings of the 2017 Joint Urban Remote Sensing Event (JURSE), Dubai, United Arab Emirates, 6-8 March 2017; pp. 1-4. [CrossRef]
-
(2017)
Proceedings of the 2017 Joint Urban Remote Sensing Event (JURSE)
, pp. 1-4
-
-
Ban, Y.1
Webber, L.2
Gamba, P.3
Paganini, M.4
-
60
-
-
1642487678
-
Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information
-
[CrossRef]
-
Benz, U.C.; Hofmann, P.; Willhauck, G.; Lingenfelder, I.; Heynen, M. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J. Photogramm. Remote Sens. 2004, 58, 239-258. [CrossRef]
-
(2004)
ISPRS J. Photogramm. Remote Sens
, vol.58
, pp. 239-258
-
-
Benz, U.C.1
Hofmann, P.2
Willhauck, G.3
Lingenfelder, I.4
Heynen, M.5
-
61
-
-
79957650754
-
Image segmentation scale parameter optimization and land cover classification using the Random Forest algorithm
-
[CrossRef]
-
Smith, A. Image segmentation scale parameter optimization and land cover classification using the Random Forest algorithm. J. Spat. Sci. 2010, 55, 69-79. [CrossRef]
-
(2010)
J. Spat. Sci
, vol.55
, pp. 69-79
-
-
Smith, A.1
-
62
-
-
79957819255
-
Unsupervised image segmentation evaluation and refinement using a multi-scale approach
-
[CrossRef]
-
Johnson, B.; Xie, Z. Unsupervised image segmentation evaluation and refinement using a multi-scale approach. ISPRS J. Photogramm. Remote Sens. 2011, 66, 473-483. [CrossRef]
-
(2011)
ISPRS J. Photogramm. Remote Sens
, vol.66
, pp. 473-483
-
-
Johnson, B.1
Xie, Z.2
-
63
-
-
84899963925
-
A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation
-
[CrossRef]
-
Yang, J.; Li, P.; He, Y. A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation. ISPRS J. Photogramm. Remote Sens. 2014, 94, 13-24. [CrossRef]
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.94
, pp. 13-24
-
-
Yang, J.1
Li, P.2
He, Y.3
-
64
-
-
84952690747
-
SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting
-
Yao, Y., Hu, Q., Yu, H., Grzymala-Busse, J.W., Eds.; Springer International Publishing: Cham, Switzerland
-
Lameski, P.; Zdravevski, E.; Mingov, R.; Kulakov, A. SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. In Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Lecture Notes in Computer Science; Yao, Y., Hu, Q., Yu, H., Grzymala-Busse, J.W., Eds.; Springer International Publishing: Cham, Switzerland, 2015; pp. 464-474.
-
(2015)
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, Lecture Notes in Computer Science;
, pp. 464-474
-
-
Lameski, P.1
Zdravevski, E.2
Mingov, R.3
Kulakov, A.4
-
65
-
-
0003684449
-
-
2nd ed.; Springer Series in Statistics; Springer: New York, NY, USA
-
Hastie, T.; Tibshirani, R.; Friedman, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed.; Springer Series in Statistics; Springer: New York, NY, USA, 2009.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
66
-
-
84891940864
-
-
Springer: New York, NY, USA
-
Xanthopoulos, P.; Pardalos, P.M.; Trafalis, T.B. Robust Data Mining, SpringerBriefs in Optimization; Springer: New York, NY, USA, 2013.
-
(2013)
Robust Data Mining, SpringerBriefs in Optimization;
-
-
Xanthopoulos, P.1
Pardalos, P.M.2
Trafalis, T.B.3
-
67
-
-
80052405668
-
Linear Discriminant Dimensionality Reduction
-
Gunopulos, D., Hofmann, T., Malerba, D., Vazirgiannis, M., Eds.; Springer: Berlin/Heidelberg, Germany
-
Gu, Q.; Li, Z.; Han, J. Linear Discriminant Dimensionality Reduction. In Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science; Gunopulos, D., Hofmann, T., Malerba, D., Vazirgiannis, M., Eds.; Springer: Berlin/Heidelberg, Germany, 2011; pp. 549-564.
-
(2011)
Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Computer Science;
, pp. 549-564
-
-
Gu, Q.1
Li, Z.2
Han, J.3
-
68
-
-
33744815821
-
Estimating Mutual Information
-
arXiv:cond-mat/0305641. [CrossRef]
-
Kraskov, A.; Stoegbauer, H.; Grassberger, P. Estimating Mutual Information. arXiv 2003, arXiv:cond-mat/0305641. [CrossRef]
-
(2003)
ArXiv
-
-
Kraskov, A.1
Stoegbauer, H.2
Grassberger, P.3
-
69
-
-
84898948710
-
Feature Selection for SVMs
-
Leen, T.K., Dietterich, T.G., Tresp, V., Eds.; MIT Press: Cambridge, MA, USA
-
Weston, J.; Mukherjee, S.; Chapelle, O.; Pontil, M.; Poggio, T.; Vapnik, V. Feature Selection for SVMs. In Advances in Neural Information Processing Systems 13; Leen, T.K., Dietterich, T.G., Tresp, V., Eds.; MIT Press: Cambridge, MA, USA, 2001; pp. 668-674.
-
(2001)
Advances in Neural Information Processing Systems 13;
, pp. 668-674
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
70
-
-
33751565280
-
Solving the small sample size problem of LDA
-
In Quebec, QC, Canada, 11-15 August; [CrossRef]
-
Huang, R.; Liu, Q.; Lu, H.; Ma, S. Solving the small sample size problem of LDA. In Proceedings of the Object Recognition Supported by User Interaction for Service Robots, Quebec, QC, Canada, 11-15 August 2002; Volume 3, pp. 29-32. [CrossRef]
-
(2002)
Proceedings of the Object Recognition Supported by User Interaction for Service Robots
, vol.3
, pp. 29-32
-
-
Huang, R.1
Liu, Q.2
Lu, H.3
Ma, S.4
-
71
-
-
85069502989
-
-
Available online: (accessed on 21 December)
-
Stromann, O. GitHub Repository. Available online: https://github.com/ostromann/GEE-LandCoverClass (accessed on 21 December 2019).
-
(2019)
GitHub Repository
-
-
Stromann, O.1
|