| 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 | 688 | 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 | 539 | 2020 |
| 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 | 328 | 2017 |
| 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 | 278 | 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 | 193 | 2011 |
| 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 | 190 | 2014 |
| 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 | 163 | 2018 |
| 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 | 119 | 2014 |
| 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 | 117 | 2011 |
| 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 | 115 | 2021 |
| 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 | 96 | 2019 |
| A comparative study on linear regression-based noise estimation for hyperspectral imagery L Gao, Q Du, B Zhang, W Yang, Y Wu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 95 | 2013 |
| 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 | 84 | 2020 |
| Endmember extraction of hyperspectral remote sensing images based on the discrete particle swarm optimization algorithm B Zhang, X Sun, L Gao, L Yang IEEE Transactions on Geoscience and Remote Sensing 49 (11), 4173-4176, 2011 | 83 | 2011 |
| Spectral-spatial hyperspectral image classification using subspace-based support vector machines and adaptive Markov random fields H Yu, L Gao, J Li, SS Li, B Zhang, JA Benediktsson Remote Sensing 8 (4), 355, 2016 | 80 | 2016 |
| Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification H Yu, L Gao, W Liao, B Zhang, A Pižurica, W Philips IEEE Geoscience and Remote Sensing Letters 14 (11), 2142-2146, 2017 | 72 | 2017 |
| A new operational method for estimating noise in hyperspectral images LR Gao, B Zhang, X Zhang, WJ Zhang, QX Tong IEEE Geoscience and remote sensing letters 5 (1), 83-87, 2008 | 68 | 2008 |
| 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 | 63 | 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 | 61 | 2020 |
| 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 | 59 | 2020 |
Danfeng Hong (洪丹枫)Aerospace Information Research Institute, Chinese Academy of SciencesVerified email at aircas.ac.cn
