| Hyperspectral image classification via shape-adaptive joint sparse representation W Fu, S Li, L Fang, X Kang, JA Benediktsson IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 130 | 2015 |
| Multiscale superpixel-based sparse representation for hyperspectral image classification S Zhang, S Li, W Fu, L Fang Remote Sensing 9 (2), 139, 2017 | 77 | 2017 |
| Edge-guided recurrent convolutional neural network for multitemporal remote sensing image building change detection B Bai, W Fu, T Lu, S Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 73 | 2021 |
| Adaptive spectral–spatial compression of hyperspectral image with sparse representation W Fu, S Li, L Fang, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 55 (2), 671-682, 2016 | 72 | 2016 |
| Global–local transformer network for HSI and LiDAR data joint classification K Ding, T Lu, W Fu, S Li, F Ma IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 36 | 2022 |
| Contextual online dictionary learning for hyperspectral image classification W Fu, S Li, L Fang, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1336-1347, 2017 | 25 | 2017 |
| Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data T Lu, K Ding, W Fu, S Li, A Guo Information Fusion 93, 118-131, 2023 | 22 | 2023 |
| Spectral-spatial hyperspectral image classification via superpixel merging and sparse representation W Fu, S Li, L Fang 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 15 | 2015 |
| Fusion based seamless mosaic for remote sensing images T Lu, S Li, W Fu Sensing and Imaging 15, 1-14, 2014 | 14 | 2014 |
| Context-aware compressed sensing of hyperspectral image W Fu, T Lu, S Li IEEE Transactions on Geoscience and Remote Sensing 58 (1), 268-280, 2019 | 11 | 2019 |
| Grouped multi-attention network for hyperspectral image spectral-spatial classification T Lu, M Liu, W Fu, X Kang IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023 | 10 | 2023 |
| Superpixel-based Brownian descriptor for hyperspectral image classification S Zhang, T Lu, S Li, W Fu IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 8 | 2021 |
| Semi-tensor compressed sensing for hyperspectral image W Fu, S Li IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 7 | 2018 |
| Spectral-spatial hyperspectral classification via shape-adaptive sparse representation W Fu, S Li, L Fang, X Kang, JA Benediktsson 2014 IEEE Geoscience and Remote Sensing Symposium, 3430-3433, 2014 | 6 | 2014 |
| Superpixel-level hybrid discriminant analysis for hyperspectral image feature extraction S Zhang, T Lu, W Fu, S Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 3 | 2022 |
| Spectral-spatial online dictionary learning for hyperspectral image classification W Fu, S Li, L Fang, JA Benediktsson 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| Local-Global Gated Convolutional Neural Network for Hyperspectral Image Classification W Fu, K Ding, X Kang, D Wang IEEE Geoscience and Remote Sensing Letters, 2023 | 1 | 2023 |
| Dual-stream Class-adaptive Network for Semi-supervised Hyperspectral Image Classification T Lu, Y Fang, W Fu, K Ding, X Kang IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| Uncertainty-Aware Contrastive Learning for Semi-Supervised Classification of Hyperspectral and Lidar Data K Ding, T Lu, W Fu, S Li Available at SSRN 4524946, 0 | | |
