| Deep learning-based classification of hyperspectral data Y Chen, Z Lin, X Zhao, G Wang, Y Gu IEEE Journal of Selected topics in applied earth observations and remote …, 2014 | 2638 | 2014 |
| Deep feature extraction and classification of hyperspectral images based on convolutional neural networks Y Chen, H Jiang, C Li, X Jia, P Ghamisi IEEE transactions on geoscience and remote sensing 54 (10), 6232-6251, 2016 | 2593 | 2016 |
| Deep learning for hyperspectral image classification: An overview S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6690-6709, 2019 | 1269 | 2019 |
| Spectral–spatial classification of hyperspectral data based on deep belief network Y Chen, X Zhao, X Jia IEEE journal of selected topics in applied earth observations and remote …, 2015 | 1249 | 2015 |
| 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 | 639 | 2017 |
| Generative adversarial networks for hyperspectral image classification L Zhu, Y Chen, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5046-5063, 2018 | 627 | 2018 |
| 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 | 307 | 2018 |
| Hyperspectral images classification with Gabor filtering and convolutional neural network Y Chen, L Zhu, P Ghamisi, X Jia, G Li, L Tang IEEE Geoscience and Remote Sensing Letters 14 (12), 2355-2359, 2017 | 242 | 2017 |
| Spatial-spectral transformer for hyperspectral image classification X He, Y Chen, Z Lin Remote Sensing 13 (3), 498, 2021 | 236 | 2021 |
| Convolutional recurrent neural networks: Learning spatial dependencies for image representation Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang, Y Chen Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 204 | 2015 |
| Deep fusion of remote sensing data for accurate classification Y Chen, C Li, P Ghamisi, X Jia, Y Gu IEEE Geoscience and Remote Sensing Letters 14 (8), 1253-1257, 2017 | 189 | 2017 |
| Automatic design of convolutional neural network for hyperspectral image classification Y Chen, K Zhu, L Zhu, X He, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7048-7066, 2019 | 173 | 2019 |
| A self-improving convolution neural network for the classification of hyperspectral data P Ghamisi, Y Chen, XX Zhu IEEE Geoscience and Remote Sensing Letters 13 (10), 1537-1541, 2016 | 155 | 2016 |
| Spectral-spatial classification of hyperspectral image using autoencoders Z Lin, Y Chen, X Zhao, G Wang 2013 9th international conference on information, Communications & Signal …, 2013 | 153 | 2013 |
| Deep learning ensemble for hyperspectral image classification Y Chen, Y Wang, Y Gu, X He, P Ghamisi, X Jia IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 140 | 2019 |
| Heterogeneous transfer learning for hyperspectral image classification based on convolutional neural network X He, Y Chen, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3246-3263, 2019 | 138 | 2019 |
| Learning contextual dependence with convolutional hierarchical recurrent neural networks Z Zuo, B Shuai, G Wang, X Liu, X Wang, B Wang, Y Chen IEEE Transactions on Image Processing 25 (7), 2983-2996, 2016 | 115 | 2016 |
| Deep convolutional capsule network for hyperspectral image spectral and spectral-spatial classification K Zhu, Y Chen, P Ghamisi, X Jia, JA Benediktsson Remote Sensing 11 (3), 223, 2019 | 100 | 2019 |
| Convolutional neural network-based radar jamming signal classification with sufficient and limited samples G Shao, Y Chen, Y Wei IEEE Access 8, 80588-80598, 2020 | 92 | 2020 |
| Dual-path siamese CNN for hyperspectral image classification with limited training samples L Huang, Y Chen IEEE Geoscience and Remote Sensing Letters 18 (3), 518-522, 2020 | 87 | 2020 |
