| Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields J Li, JM Bioucas-Dias, A Plaza Geoscience and Remote Sensing, IEEE Transactions on 50 (3), 809-832, 2013 | 570 | 2013 |
| Semisupervised hyperspectral image segmentation using multinomial logistic regression with active learning J Li, JM Bioucas-Dias, A Plaza IEEE Transactions on Geoscience and Remote Sensing 48 (11), 4085-4098, 2010 | 471 | 2010 |
| Generalized composite kernel framework for hyperspectral image classification J Li, PR Marpu, A Plaza, JM Bioucas-Dias, JA Benediktsson IEEE transactions on geoscience and remote sensing 51 (9), 4816-4829, 2013 | 430 | 2013 |
| Minimum volume simplex analysis: A fast algorithm to unmix hyperspectral data J Li, JM Bioucas-Dias IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium …, 2008 | 390 | 2008 |
| Hyperspectral image segmentation using a new Bayesian approach with active learning J Li, JM Bioucas-Dias, A Plaza IEEE Transactions on Geoscience and Remote Sensing 49 (10), 3947-3960, 2011 | 386 | 2011 |
| Advanced spectral classifiers for hyperspectral images: A review P Ghamisi, J Plaza, Y Chen, J Li, AJ Plaza IEEE Geoscience and Remote Sensing Magazine 5 (1), 8-32, 2017 | 302 | 2017 |
| Advanced spectral classifiers for hyperspectral images: A review P Ghamisi, J Plaza, Y Chen, J Li, AJ Plaza IEEE Geoscience and Remote Sensing Magazine 5 (1), 8-32, 2017 | 302 | 2017 |
| Spectral–Spatial Classification of Hyperspectral Data Using Loopy Belief Propagation and Active Learning J Li, JM Bioucas-Dias, A Plaza IEEE Transactions on Geoscience and Remote Sensing 51 (2), 844-856, 2013 | 299 | 2013 |
| Multiple feature learning for hyperspectral image classification J Li, X Huang, P Gamba, JM Bioucas-Dias, L Zhang, JA Benediktsson, ... IEEE Transactions on Geoscience and Remote sensing 53 (3), 1592-1606, 2014 | 276 | 2014 |
| Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art P Ghamisi, N Yokoya, J Li, W Liao, S Liu, J Plaza, B Rasti, A Plaza IEEE Geoscience and Remote Sensing Magazine 5 (4), 37-78, 2017 | 238 | 2017 |
| Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines L He, J Li, C Liu, S Li IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1579-1597, 2017 | 226 | 2017 |
| Remotely sensed image classification using sparse representations of morphological attribute profiles B Song, J Li, M Dalla Mura, P Li, A Plaza, JM Bioucas-Dias, ... IEEE transactions on geoscience and remote sensing 52 (8), 5122-5136, 2013 | 195 | 2013 |
| Anomaly detection in hyperspectral images based on low-rank and sparse representation Y Xu, Z Wu, J Li, A Plaza, Z Wei IEEE Transactions on Geoscience and Remote Sensing 54 (4), 1990-2000, 2015 | 194 | 2015 |
| : Ensemble Extreme Learning Machines for Hyperspectral Image Classification A Samat, P Du, S Liu, J Li, L Cheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 182 | 2014 |
| Semisupervised self-learning for hyperspectral image classification I Dópido, J Li, PR Marpu, A Plaza, JMB Dias, JA Benediktsson IEEE transactions on geoscience and remote sensing 51 (7), 4032-4044, 2013 | 163 | 2013 |
| Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression J Li, JM Bioucas-Dias, A Plaza IEEE Geoscience and Remote Sensing Letters 10 (2), 318-322, 2012 | 131 | 2012 |
| Hyperspectral anomaly detection with attribute and edge-preserving filters X Kang, X Zhang, S Li, K Li, J Li, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5600-5611, 2017 | 128 | 2017 |
| Minimum volume simplex analysis: A fast algorithm for linear hyperspectral unmixing J Li, A Agathos, D Zaharie, JM Bioucas-Dias, A Plaza, X Li IEEE Transactions on Geoscience and Remote Sensing 53 (9), 5067-5082, 2015 | 128 | 2015 |
| Weighted-RXD and linear filter-based RXD: Improving background statistics estimation for anomaly detection in hyperspectral imagery Q Guo, B Zhang, Q Ran, L Gao, J Li, A Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 117 | 2014 |
| Robust collaborative nonnegative matrix factorization for hyperspectral unmixing J Li, JM Bioucas-Dias, A Plaza, L Liu IEEE Transactions on Geoscience and Remote Sensing 54 (10), 6076-6090, 2016 | 116 | 2016 |
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainVerified email at unex.es
