Support vector machines in remote sensing: a review
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Decremental and incremental strategies have been applied to integrate relevant data samples for SVR training and ignore irrelevant parts.
“In order to improve the stability and robustness of SVR with largescale training samples, decremental and incremental strategies [136,137] have been applied to integrate the relevant data sample for SVR training and ignore the irrelevant part.”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [136]
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421 · see citing works
Cortes, C., & Vapnik, V. N. (1995) · Machine Learning · doi:10.1023/a:1022627411411 · Cited by 34,565 · see citing works
A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,437 · see citing works
Kohonen, T. (1995) · Springer series in information sciences · doi:10.1007/978-3-642-56927-2 · Cited by 16,032 · see citing works
A tutorial on support vector regression
Smola, A. J., & Schölkopf, B. (2004) · Statistics and Computing · doi:10.1023/b:stco.0000035301.49549.88 · Cited by 13,482 · see citing works
Schölkopf, B., & Smola, A. J. (2001) · The MIT Press eBooks · doi:10.7551/mitpress/4175.001.0001 · Cited by 11,934 · see citing works
Introduction to Linear Regression Analysis.
Assunção, R., Sampson, P. D., Montgomery, D. C., & Peck, E. A. (1993) · Journal of the American Statistical Association · doi:10.2307/2290746 · Cited by 5,389 · see citing works
Classification of hyperspectral remote sensing images with support vector machines
Melgani, F., & Bruzzone, L. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.831865 · Cited by 4,426 · see citing works
Neural Networks and the Bias/Variance Dilemma
Geman, S., Bienenstock, E., & Doursat, R. (1992) · Neural Computation · doi:10.1162/neco.1992.4.1.1 · Cited by 3,578 · see citing works
Estimation of Dependences Based on Empirical Data
Vapnik, V. N. (2006) · Information science and statistics · doi:10.1007/0-387-34239-7 · Cited by 2,252 · see citing works
An assessment of support vector machines for land cover classification
Huang, C., Davis, L. S., & Townshend, J. R. G. (2002) · International Journal of Remote Sensing · doi:10.1080/01431160110040323 · Cited by 1,801 · see citing works
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. E., Gualtieri, A. G., et al. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.07.028 · Cited by 1,705 · see citing works
Support vector machines for classification in remote sensing
Pal, M., & Mather, P. M. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160512331314083 · Cited by 1,094 · see citing works
Composite Kernels for Hyperspectral Image Classification
Camps‐Valls, G., Gómez‐Chova, L., Muñoz-Marı́, J., Vila‐Francés, J., & Calpe‐Maravilla, J. (2006) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2005.857031 · Cited by 1,069 · see citing works
A relative evaluation of multiclass image classification by support vector machines
Foody, G. M., & Mathur, A. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.827257 · Cited by 1,041 · see citing works
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
Fauvel, M., Benediktsson, J. A., Chanussot, J., & Sveinsson, J. R. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.922034 · Cited by 1,009 · see citing works
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
Fauvel, M., Chanussot, J., Benediktsson, J. A., & Sveinsson, J. R. (2007) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2007.4423943 · Cited by 910 · see citing works
Tipping, M. E. (1999) · Cited by 869 · see citing works
Single-layer learning revisited: a stepwise procedure for building and training a neural network
Knerr, S., Personnaz, L., & Dreyfus, G. (1990) · Springer eBooks · doi:10.1007/978-3-642-76153-9_5 · Cited by 837 · see citing works
Classification Methods for Remotely Sensed Data
Mather, P. M., & Tso, B. (2001) · CRC Press eBooks · doi:10.1201/b12554 · Cited by 719 · see citing works
A kernel functions analysis for support vector machines for land cover classification
Kavzoğlu, T., & Çölkesen, İ. (2009) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2009.06.002 · Cited by 693 · see citing works
Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques
Tarabalka, Y., Benediktsson, J. A., & Chanussot, J. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2016214 · Cited by 680 · see citing works
Foody, G. M., & Mathur, A. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.06.017 · Cited by 621 · see citing works
Classification Methods for Remotely Sensed Data
(2010) · doi:10.1201/9781420090741 · Cited by 612 · see citing works
A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images
Bruzzone, L., Chi, M., & Marconcini, M. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.877950 · Cited by 568 · see citing works
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas
Dalponte, M., Bruzzone, L., & Gianelle, D. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.916480 · Cited by 552 · see citing works
Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images
Bazi, Y., & Melgani, F. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.880628 · Cited by 431 · see citing works
Support vector machines for hyperspectral remote sensing classification
Gualtieri, J. A., & Cromp, R. F. (1999) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.339824 · Cited by 424 · see citing works
Foody, G. M., & Mathur, A. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.04.001 · Cited by 411 · see citing works
Multiclass and Binary SVM Classification: Implications for Training and Classification Users
Mathur, A., & Foody, G. M. (2008) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2008.915597 · Cited by 394 · see citing works
Fusion of Support Vector Machines for Classification of Multisensor Data
Waske, B., & Benediktsson, J. A. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.898446 · Cited by 393 · see citing works
Camps‐Valls, G., Gómez‐Chova, L., Muñoz-Marı́, J., et al. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.916201 · Cited by 375 · see citing works
Adaptive Relevance Matrices in Learning Vector Quantization
Schneider, P., Biehl, M. L., & Hammer, B. (2009) · Neural Computation · doi:10.1162/neco.2009.11-08-908 · Cited by 349 · see citing works
Introduction to Linear Regression Analysis
Porter, D. R. (1993) · Technometrics · doi:10.1080/00401706.1993.10485050 · Cited by 339 · see citing works
Nemmour, H., & Chibani, Y. (2006) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2006.09.004 · Cited by 317 · see citing works
Dixon, B., & Candade, N. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160701294661 · Cited by 308 · see citing works
Bovolo, F., Bruzzone, L., & Marconcini, M. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.916643 · Cited by 302 · see citing works
Road Extraction Using SVM and Image Segmentation
Song, M., & Civco, D. L. (2004) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.70.12.1365 · Cited by 296 · see citing works
Training set size requirements for the classification of a specific class
Foody, G. M., Mathur, A., Sanchez‐Hernandez, C., et al. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.03.004 · Cited by 291 · see citing works
Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle
Blanzieri, E., & Melgani, F. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.916090 · Cited by 290 · see citing works
Robust support vector method for hyperspectral data classification and knowledge discovery
Camps‐Valls, G., Gómez‐Chova, L., Calpe‐Maravilla, J., Martín‐Guerrero, J. D., Soria‐Olivas, E., Alonso, L., & Moreno, J. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.827262 · Cited by 283 · see citing works
A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data
Cao, X., Chen, J., Imura, H., & Higashi, O. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.06.001 · Cited by 279 · see citing works
Neurocomputing : algorithms, architectures and applications
Fogelman‐Soulié, F., & Hérault, J. (1990) · Springer eBooks · Cited by 275 · see citing works
Durbha, S. S., King, R. L., & Younan, N. H. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.09.031 · Cited by 274 · see citing works
Segmentation of multispectral remote sensing images using active support vector machines
Mitra, P., Shankar, B. U., & Pal, S. K. (2004) · Pattern Recognition Letters · doi:10.1016/j.patrec.2004.03.004 · Cited by 273 · see citing works
Mantero, P., Moser, G., & Serpico, S. B. (2005) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.842022 · Cited by 273 · see citing works
Feature Selection and Classification of Hyperspectral Images With Support Vector Machines
Archibald, R. K., & Fann, G. I. (2007) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2007.905116 · Cited by 271 · see citing works
Use of a dark object concept and support vector machines to automate forest cover change analysis
Huang, C., Song, K., Kim, S., TOWNSHEND, J. R. G., Davis, P. W., Masek, J. G., & Goward, S. N. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.07.023 · Cited by 268 · see citing works
Support Vector Machine for Multifrequency SAR Polarimetric Data Classification
Lardeux, C., Frison, P., Tison, C., Souyris, J., Stoll, B., Fruneau, B., & Rudant, J. P. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2023908 · Cited by 268 · see citing works
Fauvel, M., Chanussot, J., & Benediktsson, J. A. (2009) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2009/783194 · Cited by 265 · see citing works
Inglada, J. (2007) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2007.05.011 · Cited by 262 · see citing works
Semisupervised Image Classification With Laplacian Support Vector Machines
Gómez‐Chova, L., Camps‐Valls, G., Muñoz-Marı́, J., et al. (2008) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2008.916070 · Cited by 259 · see citing works
Land cover mapping of large areas using chain classification of neighboring Landsat satellite images
Knorn, J., Rabe, A., Radeloff, V. C., Kuemmerle, T., Kozak, J., & Hostert, P. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.01.010 · Cited by 257 · see citing works
Dasarathy, B. V. (1993) · Cited by 254 · see citing works
Rule extraction from support vector machines: A review
Barakat, N., & Bradley, A. P. (2010) · Neurocomputing · doi:10.1016/j.neucom.2010.02.016 · Cited by 238 · see citing works
Kuemmerle, T., Chaskovskyy, O., Knorn, J., Radeloff, V. C., Kruhlov, I., Keeton, W. S., & Hostert, P. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.02.006 · Cited by 238 · see citing works
Classification using ASTER data and SVM algorithms;
Zhu, G., & Blumberg, D. G. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00305-4 · Cited by 237 · see citing works
Mathur, A., & Foody, G. M. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160701395203 · Cited by 233 · see citing works
Mapping megacity growth with multi-sensor data
Griffiths, P., Hostert, P., Gruebner, O., & van der Linden, S. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.09.012 · Cited by 222 · see citing works
Yang, F., Ichii, K., White, M. A., et al. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.02.016 · Cited by 220 · see citing works
Classifying Multilevel Imagery From SAR and Optical Sensors by Decision Fusion
Waske, B., & van der Linden, S. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.916089 · Cited by 218 · see citing works
Zhang, L., Huang, X., Huang, B., et al. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.876704 · Cited by 208 · see citing works
Linear spectral mixture models and support vector machines for remote sensing
Brown, M., Lewis, H. G., & Gunn, S. R. (2000) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.868891 · Cited by 207 · see citing works
Dalponte, M., Bruzzone, L., Vescovo, L., et al. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.06.013 · Cited by 201 · see citing works
Chi, M., Feng, R., & Bruzzone, L. (2008) · Advances in Space Research · doi:10.1016/j.asr.2008.02.012 · Cited by 200 · see citing works
Yang, F., White, M. A., Michaelis, A., et al. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2006.876297 · Cited by 187 · see citing works
Robust Support Vector Regression for Biophysical Variable Estimation From Remotely Sensed Images
Camps‐Valls, G., Bruzzone, L., Rojo-Rojo, J. L., et al. (2006) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2006.871748 · Cited by 186 · see citing works
Hyperspectral Image Classification Using Relevance Vector Machines
Demir, B., & Ertürk, S. (2007) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2007.903069 · Cited by 186 · see citing works
Carrão, H., Gonçalvès, P., & Caetano, M. R. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.07.002 · Cited by 184 · see citing works
Licciardi, G., Pacifici, F., Tuia, D., et al. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2029340 · Cited by 182 · see citing works
Subpixel Urban Land Cover Estimation
Walton, J. T. (2008) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.74.10.1213 · Cited by 181 · see citing works
Application of support vector machine technology for weed and nitrogen stress detection in corn
Karimi, Y., Prasher, S. O., Patel, R. M., et al. (2006) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2005.12.001 · Cited by 180 · see citing works
Tuia, D., Pacifici, F., Kanevski, M., & Emery, W. J. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2027895 · Cited by 178 · see citing works
Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data
Keuchel, J., Naumann, S., Heiler, M., et al. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00130-5 · Cited by 173 · see citing works
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images
Muñoz-Marı́, J., Bruzzone, L., & Camps‐Valls, G. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.897425 · Cited by 169 · see citing works
Support vector machines for optimal classification and spectral unmixing
Brown, M., Gunn, S. R., & Lewis, H. G. (1999) · Ecological Modelling · doi:10.1016/s0304-3800(99)00100-3 · Cited by 162 · see citing works
Huang, X., & Zhang, L.-P. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802546837 · Cited by 154 · see citing works
Brenning, A. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.09.005 · Cited by 150 · see citing works
Liu, D., Kelly, M., & Gong, P. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.12.012 · Cited by 149 · see citing works
Contextual reconstruction of cloud-contaminated multitemporal multispectral images
Melgani, F. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.861929 · Cited by 146 · see citing works
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples
Bruzzone, L., & Persello, C. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2011983 · Cited by 139 · see citing works
A Composite Semisupervised SVM for Classification of Hyperspectral Images
Marconcini, M., Camps‐Valls, G., & Bruzzone, L. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2008.2009324 · Cited by 133 · see citing works
Estimating Grassland Biomass Using SVM Band Shaving of Hyperspectral Data
Clevers, J. G. P. W., van der Heijden, G. W. A. M., Verzakov, S., et al. (2007) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.73.10.1141 · Cited by 130 · see citing works
Knudby, A., LeDrew, E., & Brenning, A. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.01.007 · Cited by 129 · see citing works
Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM
Zheng, S., Shi, W., Liu, J., et al. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.912737 · Cited by 122 · see citing works
Semisupervised Remote Sensing Image Classification With Cluster Kernels
Tuia, D., & Camps‐Valls, G. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2008.2010275 · Cited by 121 · see citing works
Integrated Spectral and Spatial Information Mining in Remote Sensing Imagery
Li, J., & Narayanan, R. M. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.824221 · Cited by 117 · see citing works
Esch, T., Himmler, V., Schorcht, G., et al. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.03.012 · Cited by 115 · see citing works
Mean Map Kernel Methods for Semisupervised Cloud Classification
Gómez‐Chova, L., Camps‐Valls, G., Bruzzone, L., & Calpe‐Maravilla, J. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2026425 · Cited by 111 · see citing works
Ensemble of support vector machines for land cover classification
Pal, M. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160802007624 · Cited by 110 · see citing works
Li, H., Gu, H., Han, Y., et al. (2010) · International Journal of Remote Sensing · doi:10.1080/01431160903475266 · Cited by 106 · see citing works
Pal, M. (2006) · International Journal of Remote Sensing · doi:10.1080/01431160500242515 · Cited by 104 · see citing works
Statistical pattern recognition in remote sensing
Chen, C. H., & Ho, P.-G. P. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.04.013 · Cited by 104 · see citing works
Retrieval of oceanic chlorophyll concentration with relevance vector machines
Camps‐Valls, G., Gómez‐Chova, L., Muñoz-Marı́, J., et al. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.06.004 · Cited by 102 · see citing works
The influence of urban structures on impervious surface maps from airborne hyperspectral data
van der Linden, S., & Hostert, P. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.06.004 · Cited by 102 · see citing works
Support Vector Machines for Hyperspectral Remote Sensing Classification
Gualtieri, J. A., & Cromp, R. F. (1998) · Cited by 101 · see citing works
Gonçalves, M. L., Netto, M. L. D. A., Costa, J. A. F., et al. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160701442146 · Cited by 96 · see citing works
Sun, D., Li, Y., & Wang, Q. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2014688 · Cited by 95 · see citing works
Towards 3D map generation from digital aerial images
Zebedin, L., Klaus, A., Gruber-Geymayer, B., et al. (2006) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2006.06.005 · Cited by 92 · see citing works
Remote Sensing Feature Selection by Kernel Dependence Measures
Camps‐Valls, G., Mooij, J. M., & Schölkopf, B. (2010) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2010.2041896 · Cited by 90 · see citing works
Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation
Bazi, Y., & Melgani, F. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.895845 · Cited by 86 · see citing works
Mukhopadhyay, A., & Maulik, U. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2008182 · Cited by 86 · see citing works
RVM‐based multi‐class classification of remotely sensed data
Foody, G. M. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160701822115 · Cited by 84 · see citing works
Integration of Soft and Hard Classifications Using Extended Support Vector Machines
Wang, L., & Jia, X. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2009.2020924 · Cited by 82 · see citing works
Bruzzone, L., & Melgani, F. (2005) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.839818 · Cited by 81 · see citing works
Kwiatkowska, E. J., & Fargion, G. S. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2003.818016 · Cited by 80 · see citing works
A Multiobjective Genetic SVM Approach for Classification Problems With Limited Training Samples
Ghoggali, N., Melgani, F., & Bazi, Y. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2007128 · Cited by 80 · see citing works
Land cover update by supervised classification of segmented ASTER images
Marcal, A. R. S., Borges, J. S., Gomes, J. A., et al. (2004) · International Journal of Remote Sensing · doi:10.1080/01431160412331291233 · Cited by 73 · see citing works
Feature selection for hyperspectral data based on recursive support vector machines
Zhang, R., & Ma, J. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802609718 · Cited by 72 · see citing works
Mapping a specific class for priority habitats monitoring from satellite sensor data
Boyd, D. S., Sanchez‐Hernandez, C., & Foody, G. M. (2006) · International Journal of Remote Sensing · doi:10.1080/01431160600554348 · Cited by 72 · see citing works
An automatic method for burn scar mapping using support vector machines
Cao, X., Chen, J., Matsushita, B., Imura, H., & Wang, L. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802220219 · Cited by 70 · see citing works
Tan, C.-P., Koay, J. Y., Lim, K. S., et al. (2007) · Electromagnetic waves · doi:10.2528/pier07012903 · Cited by 65 · see citing works
Simulated Multispectral Imagery for Tree Species Classification Using Support Vector Machines
Heikkinen, V., Tokola, T., Parkkinen, J. P. S., et al. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2032239 · Cited by 64 · see citing works
Chen, J., Wang, C., & Wang, R. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2010491 · Cited by 62 · see citing works
An operational MISR pixel classifier using support vector machines
Mazzoni, D., Garay, M. J., Davies, R., et al. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.06.021 · Cited by 61 · see citing works
Moser, G., & Serpico, S. B. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2005993 · Cited by 59 · see citing works
Multisource Classification Using Support Vector Machines
Watanachaturaporn, P., Arora, M. K., & Varshney, P. K. (2008) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.74.2.239 · Cited by 59 · see citing works
Reduction of atmospheric and topographic effect on Landsat TM data for forest classification
Huang, H., Gong, P., Clinton, N., et al. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160802082148 · Cited by 57 · see citing works
An improved SVM method P‐SVM for classification of remotely sensed data
Zhang, R., & Ma, J. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160802220151 · Cited by 54 · see citing works
Kaheil, Y. H., Rosero, E., Gill, M. K., et al. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.919819 · Cited by 53 · see citing works
Land cover classification using multi‐temporal MERIS vegetation indices
Dash, J., Mathur, A., Foody, G. M., et al. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600784259 · Cited by 53 · see citing works
An abrupt change detection algorithm for buried landmines localization
Potin, D., Vanheeghe, P., Duflos, E., et al. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.861413 · Cited by 49 · see citing works
Genetic SVM Approach to Semisupervised Multitemporal Classification
Ghoggali, N., & Melgani, F. (2008) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2008.915600 · Cited by 48 · see citing works
Huang, X., Zhang, L., & Li, P. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160802139922 · Cited by 48 · see citing works
Su, L. (2009) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2009.02.002 · Cited by 47 · see citing works
Demir, B., & Erturk, S. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2009.2026656 · Cited by 41 · see citing works
Huang, X., & Zhang, L. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2009.2032563 · Cited by 41 · see citing works
Support Vector Machine-Based Endmember Extraction
Filippi, A. M., & Archibald, R. K. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2004708 · Cited by 40 · see citing works
Combining Support Vector Machines With a Pairwise Decision Tree
Chen, J., Wang, C., & Wang, R. (2008) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2008.916834 · Cited by 40 · see citing works
Andermann, C., & Gloaguen, R. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802558733 · Cited by 39 · see citing works
Ultrawideband Synthetic Aperture Radar Landmine Detection
Jin, T., & Zhou, Z. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.906138 · Cited by 38 · see citing works
Spacebased estimation of moisture transport in marine atmosphere using support vector regression
Xie, X., LIU, W., & Tang, B. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.09.003 · Cited by 38 · see citing works
Classification of contamination in salt marsh plants using hyperspectral reflectance
Wilson, M., Ustin, S. L., & Rocke, D. M. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2003.823278 · Cited by 38 · see citing works
Extraction of bridges over water from IKONOS panchromatic data
Luo, J., Ming, D., Liu, W., et al. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160601024226 · Cited by 33 · see citing works
Su, L., & Huang, Y. (2009) · GIScience & Remote Sensing · doi:10.2747/1548-1603.46.4.411 · Cited by 32 · see citing works
Warner, T. A., & Nerry, F. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802549286 · Cited by 28 · see citing works
Determination of ocean primary productivity using support vector machines
Tang, S., Chen, C., Zhan, H., et al. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160802175355 · Cited by 27 · see citing works
Adaptive mapped least squares SVM-based smooth fitting method for DSM generation of LIDAR data
Shi, W., Zheng, S., & Tian, Y. W. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802709237 · Cited by 25 · see citing works
Application of SVM on satellite images to detect hotspots in Jharia coal field region of India
Gautam, R., Singh, D., Mittal, A., et al. (2007) · Advances in Space Research · doi:10.1016/j.asr.2007.05.011 · Cited by 24 · see citing works
The performance of pixel window algorithms in the classification of habitats using VHSR imagery
Keramitsoglou, I., Sarimveis, H., Kiranoudis, C. T., et al. (2006) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2006.01.002 · Cited by 24 · see citing works
Hong, Y. E., Chiang, Y. ‐., Liu, Y., et al. (2006) · International Journal of Remote Sensing · doi:10.1080/01431160600763428 · Cited by 24 · see citing works
Learning classifiers for science event detection in remote sensing imagery
Castaño, R. (2005) · International Symposium on Artificial Intelligence · Cited by 21 · see citing works
Full fuzzy land cover mapping using remote sensing data based on fuzzyc-means and density estimation
Kumar, A., Ghosh, S. K., & Dadhwal, V. K. (2007) · Canadian Journal of Remote Sensing · doi:10.5589/m07-011 · Cited by 21 · see citing works
Su, L., Huang, Y., Chopping, M. J., et al. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160802562230 · Cited by 20 · see citing works
Capacity control in linear classifiers for pattern recognition
Guyon, I., Vapnik, V. N., Boser, B. E., et al. (2003) · IAPR International Conference on Pattern Recognition (ICPR) · doi:10.1109/icpr.1992.201798 · Cited by 17 · see citing works
Sahoo, B., Oommen, T., Misra, D., et al. (2007) · Canadian Journal of Remote Sensing · doi:10.5589/m07-057 · Cited by 17 · see citing works
Castillo, C., Chollett, I., & Klein, E. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160801961375 · Cited by 17 · see citing works
A $nu$ -Insensitive SVM Approach for Compliance Monitoring of the Conservation Reserve Program
Song, X., Cherian, G., & Fan, G. (2005) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2005.846007 · Cited by 13 · see citing works
Mladinich, C. S. (2010) · GIScience & Remote Sensing · doi:10.2747/1548-1603.47.1.53 · Cited by 11 · see citing works
A MISR cloud-type classifier using reduced Support Vector Machines
Mazzoni, D., Horváth, Á., Garay, M. J., et al. (2005) · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Deep learning in remote sensing applications: A meta-analysis and review
Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.04.015 · Cited by 2,456 · see citing works
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Li, Y., Liu, K., Foley, A. M., Zülke, A., Berecibar, M., Nanini-Maury, E., Van Mierlo, J., & Hoster, H. E. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109254 · Cited by 1,193 · see citing works
Satellite remote sensing for applied ecologists: opportunities and challenges
Pettorelli, N., Laurance, W. F., O'Brien, T. G., Wegmann, M., Nagendra, H., & Turner, W. (2014) · Journal of Applied Ecology · doi:10.1111/1365-2664.12261 · Cited by 707 · see citing works
Machine learning algorithms for social media analysis: A survey
T.K., B., Annavarapu, C. S. R., & Bablani, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100395 · Cited by 276 · see citing works
A patch-based convolutional neural network for remote sensing image classification
Sharma, A., Liu, X., Yang, X., & Shi, D. (2017) · Neural Networks · doi:10.1016/j.neunet.2017.07.017 · Cited by 260 · see citing works
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID
Long, Y., Xia, G.-S., Li, S., Yang, W., Yang, M. Y., Zhu, X. X., Zhang, L., & Li, D. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3070368 · Cited by 250 · see citing works
An approach for global monitoring of surface water extent variations in reservoirs using MODIS data
Khandelwal, A., Karpatne, A., Marlier, M. E., Kim, J., Lettenmaier, D. P., & Kumar, V. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.05.039 · Cited by 197 · see citing works
Lu, Z., Im, J., Rhee, J., & Hodgson, M. (2014) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2014.07.005 · Cited by 121 · see citing works
Self-citationIbrahim Mahmoud, M., Duker, A., Conrad, C., Thiel, M., & Shaba Ahmad, H. (2016) · Remote Sensing · doi:10.3390/rs8030220 · Cited by 105 · see citing works
Tuia, D., Flamary, R., & Courty, N. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.01.006 · Cited by 102 · see citing works
Schug, F., Okujeni, A., Hauer, J., Hostert, P., Nielsen, J. Ø., & van der Linden, S. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.03.022 · Cited by 96 · see citing works
Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives
Cardoso-Fernandes, J., Teodoro, A. C., Lima, A., Perrotta, M., & Roda-Robles, E. (2020) · Applied Sciences · doi:10.3390/app10051785 · Cited by 71 · see citing works
Exploring ELM-based spatial–spectral classification of hyperspectral images
Heras, D. B., Argüello, F., & Quesada-Barriuso, P. (2014) · International Journal of Remote Sensing · doi:10.1080/01431161.2013.869633 · Cited by 54 · see citing works
- Authors
- Mountrakis, G., Im, J., & Ogole, C.
- Affiliations
- State University of New York (US)
- Corresponding author
- Mountrakis, Giorgos
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 66
- Issue
- 3
- Pages
- 247-259
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2063907334
- Cited by
- 3,473
- References
- 150
- Citations by year
- 2026: 264 · 2025: 298 · 2024: 240 · 2023: 272 · 2022: 320 · 2021: 311 · 2020: 315 · 2019: 305 · 2018: 249 · 2017: 224 · 2016: 188 · 2015: 155 · 2014: 149 · 2013: 95 · 2012: 65
- FWCI
- 149.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- support vector machine, remote sensing image analysis, airborne imagery, satellite imagery, small training sample size, parameter selection, generalization, classification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review