| 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 | 131 | 2015 |
| 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 | 109 | 2021 |
| Multiscale superpixel-based sparse representation for hyperspectral image classification S Zhang, S Li, W Fu, L Fang Remote Sensing 9 (2), 139, 2017 | 82 | 2017 |
| 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 | 79 | 2022 |
| 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 | 77 | 2016 |
| 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 | 66 | 2023 |
| Complementarity-aware local-global feature fusion network for building extraction in remote sensing images W Fu, K Xie, L Fang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 41 | 2024 |
| 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 | 27 | 2023 |
| 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 |
| 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 | 17 | 2015 |
| 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 62, 1-11, 2024 | 16 | 2024 |
| 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 | 14 | 2019 |
| Fusion based seamless mosaic for remote sensing images T Lu, S Li, W Fu Sensing and Imaging 15, 1-14, 2014 | 12 | 2014 |
| 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 | 11 | 2021 |
| Semi-tensor compressed sensing for hyperspectral image W Fu, S Li IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 8 | 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 | 7 | 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 | 5 | 2022 |
| Cross-scene hyperspectral image classification with consistency-aware customized learning K Ding, T Lu, W Fu, L Fang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 3 | 2024 |
| 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 Feature Adaptive Fusion Network for Building Crack Detection Y He, Z Yuan, X Xia, B Yang, H Wu, W Fu, W Yao Sensors 24 (21), 7076, 2024 | 2 | 2024 |
