| Graph convolutional networks for hyperspectral image classification D Hong, L Gao, J Yao, B Zhang, A Plaza, J Chanussot IEEE Transactions on Geoscience and Remote Sensing, 2020 | 1458 | 2020 |
| More diverse means better: Multimodal deep learning meets remote-sensing imagery classification D Hong, L Gao, N Yokoya, J Yao, J Chanussot, Q Du, B Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4340-4354, 2020 | 1142 | 2020 |
| SpectralFormer: Rethinking hyperspectral image classification with transformers D Hong, Z Han, J Yao, L Gao, B Zhang, A Plaza, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 1125 | 2021 |
| Multisource remote sensing data classification based on convolutional neural network X Xu, W Li, Q Ran, Q Du, L Gao, B Zhang IEEE Transactions on Geoscience and Remote Sensing 56 (2), 937-949, 2017 | 593 | 2017 |
| Deep learning in multimodal remote sensing data fusion: A comprehensive review J Li, D Hong, L Gao, J Yao, K Zheng, B Zhang, J Chanussot International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 377 | 2022 |
| 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 | 274 | 2014 |
| Progress and challenges in intelligent remote sensing satellite systems B Zhang, Y Wu, B Zhao, J Chanussot, D Hong, J Yao, L Gao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 266 | 2022 |
| Feature extraction for classification of hyperspectral and LiDAR data using patch-to-patch CNN M Zhang, W Li, Q Du, L Gao, B Zhang IEEE transactions on cybernetics 50 (1), 100-111, 2018 | 254 | 2018 |
| Interpretable hyperspectral artificial intelligence: When nonconvex modeling meets hyperspectral remote sensing D Hong, W He, N Yokoya, J Yao, L Gao, L Zhang, J Chanussot, X Zhu IEEE Geoscience and Remote Sensing Magazine 9 (2), 52-87, 2021 | 227 | 2021 |
| Adaptive Markov random field approach for classification of hyperspectral imagery B Zhang, S Li, X Jia, L Gao, M Peng IEEE Geoscience and Remote Sensing Letters 8 (5), 973-977, 2011 | 224 | 2011 |
| Deep encoder–decoder networks for classification of hyperspectral and LiDAR data D Hong, L Gao, R Hang, B Zhang, J Chanussot IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 215 | 2020 |
| Endmember-guided unmixing network (EGU-Net): A general deep learning framework for self-supervised hyperspectral unmixing D Hong, L Gao, J Yao, N Yokoya, J Chanussot, U Heiden, B Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6518-6531, 2021 | 187 | 2021 |
| Coupled convolutional neural network with adaptive response function learning for unsupervised hyperspectral super resolution K Zheng, L Gao, W Liao, D Hong, B Zhang, X Cui, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2487-2502, 2020 | 164 | 2020 |
| Spectral superresolution of multispectral imagery with joint sparse and low-rank learning L Gao, D Hong, J Yao, B Zhang, P Gamba, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2269-2280, 2020 | 150 | 2020 |
| CyCU-Net: Cycle-consistency unmixing network by learning cascaded autoencoders L Gao, Z Han, D Hong, B Zhang, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 148 | 2021 |
| Endmember extraction of hyperspectral remote sensing images based on the ant colony optimization (ACO) algorithm B Zhang, X Sun, L Gao, L Yang IEEE transactions on geoscience and remote sensing 49 (7), 2635-2646, 2011 | 144 | 2011 |
| Building extraction from high-resolution aerial imagery using a generative adversarial network with spatial and channel attention mechanisms X Pan, F Yang, L Gao, Z Chen, B Zhang, H Fan, J Ren Remote Sensing 11 (8), 917, 2019 | 142 | 2019 |
| Subspace-based support vector machines for hyperspectral image classification L Gao, J Li, M Khodadadzadeh, A Plaza, B Zhang, Z He, H Yan IEEE Geoscience and Remote Sensing Letters 12 (2), 349-353, 2014 | 138 | 2014 |
| BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection L Gao, D Wang, L Zhuang, X Sun, M Huang, A Plaza IEEE Transactions on Geoscience and Remote Sensing 61, 1-18, 2023 | 125 | 2023 |
| Remote sensing image super-resolution using novel dense-sampling networks X Dong, X Sun, X Jia, Z Xi, L Gao, B Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1618-1633, 2020 | 121 | 2020 |
Jocelyn ChanussotINRIA, on leave from Grenoble INPVerified email at grenoble-inp.fr