Image fusion techniques for remote sensing applications G Simone, A Farina, FC Morabito, SB Serpico, L Bruzzone Information fusion 3 (1), 3-15, 2002 | 562 | 2002 |
A new search algorithm for feature selection in hyperspectral remote sensing images SB Serpico, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 39 (7), 1360-1367, 2001 | 433 | 2001 |
Partially supervised classification of remote sensing images through SVM-based probability density estimation P Mantero, G Moser, SB Serpico IEEE Transactions on geoscience and remote sensing 43 (3), 559-570, 2005 | 410 | 2005 |
Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery G Moser, SB Serpico IEEE Transactions on Geoscience and Remote sensing 44 (10), 2972-2982, 2006 | 403 | 2006 |
An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images L Bruzzone, SB Serpico IEEE transactions on geoscience and remote sensing 35 (4), 858-867, 1997 | 403 | 1997 |
A neural-statistical approach to multitemporal and multisource remote-sensing image classification L Bruzzone, DF Prieto, SB Serpico IEEE Transactions on Geoscience and remote Sensing 37 (3), 1350-1359, 1999 | 345 | 1999 |
New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation, sparse … P Ghamisi, E Maggiori, S Li, R Souza, Y Tarablaka, G Moser, A De Giorgi, ... IEEE geoscience and remote sensing magazine 6 (3), 10-43, 2018 | 336 | 2018 |
Land-cover mapping by Markov modeling of spatial–contextual information in very-high-resolution remote sensing images G Moser, SB Serpico, JA Benediktsson Proceedings of the IEEE 101 (3), 631-651, 2012 | 278 | 2012 |
An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection L Bruzzone, F Roli, SB Serpico IEEE Transactions on Geoscience and Remote Sensing 33 (6), 1318-1321, 1995 | 254 | 1995 |
Conditional copulas for change detection in heterogeneous remote sensing images G Mercier, G Moser, SB Serpico IEEE Transactions on Geoscience and Remote Sensing 46 (5), 1428-1441, 2008 | 218 | 2008 |
Combining support vector machines and Markov random fields in an integrated framework for contextual image classification G Moser, SB Serpico IEEE Transactions on Geoscience and Remote Sensing 51 (5), 2734-2752, 2012 | 215 | 2012 |
Classification of multisensor remote-sensing images by structured neural networks SB Serpico, F Roli IEEE Transactions on Geoscience and Remote Sensing 33 (3), 562-578, 1995 | 212 | 1995 |
SAR amplitude probability density function estimation based on a generalized Gaussian model G Moser, J Zerubia, SB Serpico IEEE transactions on image processing 15 (6), 1429-1442, 2006 | 197 | 2006 |
A Markov random field approach to spatio-temporal contextual image classification F Melgani, SB Serpico IEEE Transactions on Geoscience and Remote Sensing 41 (11), 2478-2487, 2003 | 195 | 2003 |
Extraction of spectral channels from hyperspectral images for classification purposes SB Serpico, G Moser IEEE transactions on geoscience and remote sensing 45 (2), 484-495, 2007 | 190 | 2007 |
Unsupervised change-detection methods for remote-sensing images F Melgani, G Moser, SB Serpico Optical Engineering 41 (12), 3288-3297, 2002 | 180 | 2002 |
Dictionary-based stochastic expectation-maximization for SAR amplitude probability density function estimation G Moser, J Zerubia, SB Serpico IEEE Transactions on Geoscience and Remote Sensing 44 (1), 188-200, 2005 | 147 | 2005 |
An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images SB Serpico, L Bruzzone, F Roli Pattern recognition letters 17 (13), 1331-1341, 1996 | 140 | 1996 |
Unsupervised change detection from multichannel SAR data by Markovian data fusion G Moser, SB Serpico IEEE Transactions on Geoscience and Remote Sensing 47 (7), 2114-2128, 2009 | 130 | 2009 |
A technique for feature selection in multiclass problems L Bruzzone, SB Serpico International Journal of Remote Sensing 21 (3), 549-563, 2000 | 130 | 2000 |