| Hyperspectral image classification with deep feature fusion network W Song, S Li, L Fang, T Lu IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3173-3184, 2018 | 465 | 2018 |
| Spectral–spatial adaptive sparse representation for hyperspectral image denoising T Lu, S Li, L Fang, Y Ma, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 54 (1), 373-385, 2015 | 141 | 2015 |
| Self-attention-based deep feature fusion for remote sensing scene classification R Cao, L Fang, T Lu, N He IEEE Geoscience and Remote Sensing Letters 18 (1), 43-47, 2020 | 135 | 2020 |
| Nonlocal sparse tensor factorization for semiblind hyperspectral and multispectral image fusion R Dian, S Li, L Fang, T Lu, JM Bioucas-Dias IEEE transactions on cybernetics 50 (10), 4469-4480, 2019 | 128 | 2019 |
| Probabilistic fusion of pixel-level and superpixel-level hyperspectral image classification S Li, T Lu, L Fang, X Jia, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7416-7430, 2016 | 80 | 2016 |
| From subpixel to superpixel: A novel fusion framework for hyperspectral image classification T Lu, S Li, L Fang, X Jia, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4398-4411, 2017 | 79 | 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 | 72 | 2021 |
| Set-to-set distance-based spectral–spatial classification of hyperspectral images T Lu, S Li, L Fang, L Bruzzone, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7122-7134, 2016 | 61 | 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 |
| Subpixel-pixel-superpixel-based multiview active learning for hyperspectral images classification Y Li, T Lu, S Li IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4976-4988, 2020 | 36 | 2020 |
| 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 |
| Monitoring the green evolution of vernacular buildings based on deep learning and multi-temporal remote sensing images B Wen, F Peng, Q Yang, T Lu, B Bai, S Wu, F Xu Building Simulation 16 (2), 151-168, 2023 | 18 | 2023 |
| Image matting with color and depth information T Lu, S Li Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 17 | 2012 |
| Local-view-assisted discriminative band selection with hypergraph autolearning for hyperspectral image classification X Wei, L Cai, B Liao, T Lu IEEE Transactions on Geoscience and Remote Sensing 58 (3), 2042-2055, 2019 | 16 | 2019 |
| SAR image despeckling via structural sparse representation T Lu, S Li, L Fang, JA Benediktsson Sensing and Imaging 17, 1-20, 2016 | 14 | 2016 |
| Fusion based seamless mosaic for remote sensing images T Lu, S Li, W Fu Sensing and Imaging 15, 1-14, 2014 | 14 | 2014 |
| Gabor filtering based deep network for hyperspectral image classification C Li, S Li, X Kang, T Lu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 13 | 2017 |
| 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 |
Shutao Li (李树涛)College of Electrical and Information Engineering, Hunan University (湖南大学 电气与信息工程学院)Verified email at hnu.edu.cn
