| Recent advances in techniques for hyperspectral image processing A Plaza, JA Benediktsson, JW Boardman, J Brazile, L Bruzzone, ... Remote sensing of environment 113, S110-S122, 2009 | 1536 | 2009 |
| Kernel-based methods for hyperspectral image classification G Camps-Valls, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 43 (6), 1351-1362, 2005 | 1404 | 2005 |
| Hyperspectral remote sensing data analysis and future challenges JM Bioucas-Dias, A Plaza, G Camps-Valls, P Scheunders, N Nasrabadi, ... IEEE Geoscience and remote sensing magazine 1 (2), 6-36, 2013 | 1143 | 2013 |
| Composite kernels for hyperspectral image classification G Camps-Valls, L Gomez-Chova, J Muñoz-Marí, J Vila-Francés, ... IEEE geoscience and remote sensing letters 3 (1), 93-97, 2006 | 1039 | 2006 |
| Semi-supervised graph-based hyperspectral image classification G Camps-Valls, TVB Marsheva, D Zhou IEEE Transactions on Geoscience and Remote Sensing 45 (10), 3044-3054, 2007 | 628 | 2007 |
| Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence L Guanter, Y Zhang, M Jung, J Joiner, M Voigt, JA Berry, C Frankenberg, ... Proceedings of the National Academy of Sciences 111 (14), E1327-E1333, 2014 | 581 | 2014 |
| Deep learning and process understanding for data-driven Earth system science M Reichstein, G Camps-Valls, B Stevens, M Jung, J Denzler, ... Nature 566, 195-204, 2019 | 568 | 2019 |
| Advances in hyperspectral image classification: Earth monitoring with statistical learning methods G Camps-Valls, D Tuia, L Bruzzone, JA Benediktsson IEEE signal processing magazine 31 (1), 45-54, 2013 | 545 | 2013 |
| Unsupervised deep feature extraction for remote sensing image classification A Romero, C Gatta, G Camps-Valls IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1349-1362, 2015 | 504 | 2015 |
| Classification of hyperspectral images with regularized linear discriminant analysis TV Bandos, L Bruzzone, G Camps-Valls IEEE Transactions on Geoscience and Remote Sensing 47 (3), 862-873, 2009 | 454 | 2009 |
| Kernel methods for remote sensing data analysis G Camps-Valls, L Bruzzone John Wiley & Sons, 2009 | 399 | 2009 |
| Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection G Camps-Valls, L Gómez-Chova, J Muñoz-Marí, JL Rojo-Álvarez, ... IEEE Transactions on Geoscience and Remote Sensing 46 (6), 1822-1835, 2008 | 377 | 2008 |
| Robust support vector method for hyperspectral data classification and knowledge discovery G Camps-Valls, L Gómez-Chova, J Calpe-Maravilla, JD Martín-Guerrero, ... IEEE Transactions on Geoscience and Remote sensing 42 (7), 1530-1542, 2004 | 325 | 2004 |
| Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and-3 J Verrelst, J Muñoz, L Alonso, J Delegido, JP Rivera, G Camps-Valls, ... Remote Sensing of Environment 118, 127-139, 2012 | 323 | 2012 |
| Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review J Verrelst, G Camps-Valls, J Muñoz-Marí, JP Rivera, F Veroustraete, ... ISPRS Journal of Photogrammetry and Remote Sensing 108, 273-290, 2015 | 318 | 2015 |
| Semisupervised neural networks for efficient hyperspectral image classification F Ratle, G Camps-Valls, J Weston IEEE Transactions on Geoscience and Remote Sensing 48 (5), 2271-2282, 2010 | 305 | 2010 |
| Compensatory water effects link yearly global land CO2 sink changes to temperature M Jung, M Reichstein, CR Schwalm, C Huntingford, S Sitch, A Ahlström, ... Nature 541 (7638), 516-520, 2017 | 296 | 2017 |
| Semisupervised image classification with Laplacian support vector machines L Gómez-Chova, G Camps-Valls, J Munoz-Mari, J Calpe IEEE Geoscience and Remote Sensing Letters 5 (3), 336-340, 2008 | 251 | 2008 |
| Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms G Tramontana, M Jung, CR Schwalm, K Ichii, G Camps-Valls, B Ráduly, ... Biogeosciences 13 (14), 4291-4313, 2016 | 246 | 2016 |
| Semisupervised one-class support vector machines for classification of remote sensing data J Mũnoz-Marí, F Bovolo, L Gómez-Chova, L Bruzzone, G Camp-Valls IEEE transactions on geoscience and remote sensing 48 (8), 3188-3197, 2010 | 232 | 2010 |
Luis Gómez-ChovaFull Professor, Image Processing Laboratory (IPL), Universitat de ValenciaVerified email at uv.es
