| Spectral–spatial weighted sparse regression for hyperspectral image unmixing S Zhang, J Li, HC Li, C Deng, A Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3265-3276, 2018 | 191 | 2018 |
| Hyperspectral unmixing based on local collaborative sparse regression S Zhang, J Li, K Liu, C Deng, L Liu, A Plaza IEEE Geoscience and Remote Sensing Letters 13 (5), 631-635, 2016 | 78 | 2016 |
| Spatial discontinuity-weighted sparse unmixing of hyperspectral images S Zhang, J Li, Z Wu, A Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5767-5779, 2018 | 55 | 2018 |
| Spectral-spatial hyperspectral unmixing using nonnegative matrix factorization S Zhang, G Zhang, F Li, C Deng, S Wang, A Plaza, J Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 51 | 2021 |
| Robust minimum volume simplex analysis for hyperspectral unmixing S Zhang, A Agathos, J Li IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6431-6439, 2017 | 46 | 2017 |
| Multiscale DenseNet meets with bi-RNN for hyperspectral image classification L Liang, S Zhang, J Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 29 | 2022 |
| Sparse hyperspectral unmixing based on smoothed ℓ0 regularization C Deng, S Zhang, S Wang, W Tian, Z Wu Infrared Physics & Technology 67, 306-314, 2014 | 25 | 2014 |
| Hyperspectral sparse unmixing with spectral-spatial low-rank constraint F Li, S Zhang, B Liang, C Deng, C Xu, S Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 22 | 2021 |
| Sparsity-constrained coupled nonnegative matrix–tensor factorization for hyperspectral unmixing HC Li, S Liu, XR Feng, SQ Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 21 | 2020 |
| Fast hyperspectral image classification combining transformers and SimAM-based CNNs L Liang, Y Zhang, S Zhang, J Li, A Plaza, X Kang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 14 | 2023 |
| Superpixel-guided sparse unmixing for remotely sensed hyperspectral imagery S Zhang, C Deng, J Li, S Wang, F Li, C Xu, A Plaza IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 14 | 2019 |
| Robust double spatial regularization sparse hyperspectral unmixing F Li, S Zhang, C Deng, B Liang, J Cao, S Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 13 | 2021 |
| Reweighted local collaborative sparse regression for hyperspectral unmixing Y Li, S Zhang, C Deng, S Wang Infrared Physics & Technology 97, 277-286, 2019 | 12 | 2019 |
| Image super-resolution reconstruction based on L1/2 sparsity C Deng, J Liu, W Tian, S Wang, H Zhu, S Zhang Bulletin of Electrical Engineering and Informatics 3 (3), 155-160, 2014 | 12 | 2014 |
| Impervious surface extraction from multispectral images via morphological attribute profiles based on spectral analysis C Zhu, J Li, S Zhang, C Wu, B Zhang, L Gao, A Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 10 | 2018 |
| Hyperspectral unmixing algorithm based on L1 regularization D Chengzhi, Z Shaoquan, W Shengqian, T Wei, Z Huasheng, H Saifeng 红外与激光工程 44 (3), 1092-1097, 2015 | 10 | 2015 |
| Moving Ship Optimal Association for Maritime Surveillance: Fusing AIS and Sentinel-2 Data Z Liu, J Xu, J Li, A Plaza, S Zhang, L Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022 | 8 | 2022 |
| Multi-Scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks L Liang, S Zhang, J Li, A Plaza, Z Cui Remote Sensing 15 (7), 1758, 2023 | 7 | 2023 |
| Spectral-spatial joint sparsity unmixing of hyperspectral images based on framelet transform C Xu, Z Wu, F Li, S Zhang, C Deng, Y Wang Infrared Physics & Technology 112, 103564, 2021 | 6 | 2021 |
| Spectral-spatial weighted sparse nonnegative tensor factorization for hyperspectral unmixing S Zhang, G Zhang, C Deng, J Li, S Wang, J Wang, A Plaza IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 6 | 2020 |
