| 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 | 1278 | 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 | 1063 | 2016 |
| 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 | 677 | 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 | 265 | 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 | 186 | 2018 |
| 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 | 163 | 2019 |
| 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 | 125 | 2015 |
| 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 | 108 | 2018 |
| 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 | 93 | 2013 |
| 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 | 90 | 2016 |
| 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 | 88 | 2017 |
| 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 | 62 | 2017 |
| 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 | 57 | 2016 |
| Optimizing subspace SVM ensemble for hyperspectral imagery classification Y Chen, X Zhao, Z Lin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 48 | 2014 |
| 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 | 38 | 2019 |
| Combining component substitution and multiresolution analysis: A novel generalized BDSD pansharpening algorithm S Zhong, Y Zhang, Y Chen, D Wu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 32 | 2017 |
| 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 | 28 | 2019 |
| 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 | 21 | 2019 |
| LiDAR data classification using morphological profiles and convolutional neural networks A Wang, X He, P Ghamisi, Y Chen IEEE Geoscience and Remote Sensing Letters 15 (5), 774-778, 2018 | 16 | 2018 |
| Hyperspectral data clustering based on density analysis ensemble Y Chen, S Ma, X Chen, P Ghamisi Remote Sensing Letters 8 (2), 194-203, 2017 | 16 | 2017 |
