| Hyperspectral image classification via fusing correlation coefficient and joint sparse representation B Tu, X Zhang, X Kang, G Zhang, J Wang, J Wu IEEE Geoscience and Remote Sensing Letters 15 (3), 340-344, 2018 | 94 | 2018 |
| KNN-based representation of superpixels for hyperspectral image classification B Tu, J Wang, X Kang, G Zhang, X Ou, L Guo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 82 | 2018 |
| Spatial density peak clustering for hyperspectral image classification with noisy labels B Tu, X Zhang, X Kang, J Wang, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 57 (7), 5085-5097, 2019 | 81 | 2019 |
| Hyperspectral classification with noisy label detection via superpixel-to-pixel weighting distance B Tu, C Zhou, D He, S Huang, A Plaza IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4116-4131, 2020 | 77 | 2020 |
| Density peak-based noisy label detection for hyperspectral image classification B Tu, X Zhang, X Kang, G Zhang, S Li IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1573-1584, 2018 | 72 | 2018 |
| Hyperspectral anomaly detection via density peak clustering B Tu, X Yang, N Li, C Zhou, D He Pattern Recognition Letters 129, 144-149, 2020 | 67 | 2020 |
| Spectral–spatial hyperspectral classification via structural-kernel collaborative representation B Tu, C Zhou, X Liao, G Zhang, Y Peng IEEE Geoscience and Remote Sensing Letters 18 (5), 861-865, 2020 | 54 | 2020 |
| Multiple convolutional layers fusion framework for hyperspectral image classification G Zhao, G Liu, L Fang, B Tu, P Ghamisi Neurocomputing 339, 149-160, 2019 | 53 | 2019 |
| Hyperspectral image classification via weighted joint nearest neighbor and sparse representation B Tu, S Huang, L Fang, G Zhang, J Wang, B Zheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 52 | 2018 |
| Hyperspectral imagery noisy label detection by spectral angle local outlier factor B Tu, C Zhou, W Kuang, L Guo, X Ou IEEE Geoscience and Remote Sensing Letters 15 (9), 1417-1421, 2018 | 46 | 2018 |
| Local semantic feature aggregation-based transformer for hyperspectral image classification B Tu, X Liao, Q Li, Y Peng, A Plaza IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 42 | 2022 |
| Hyperspectral anomaly detection using dual window density B Tu, X Yang, C Zhou, D He, A Plaza IEEE Transactions on Geoscience and Remote Sensing 58 (12), 8503-8517, 2020 | 42 | 2020 |
| A CNN framework with slow-fast band selection and feature fusion grouping for hyperspectral image change detection X Ou, L Liu, B Tu, G Zhang, Z Xu IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 40 | 2022 |
| Hyperspectral image classification with multi-scale feature extraction B Tu, N Li, L Fang, D He, P Ghamisi Remote Sensing 11 (5), 534, 2019 | 34 | 2019 |
| Spatial–spectral transformer with cross-attention for hyperspectral image classification Y Peng, Y Zhang, B Tu, Q Li, W Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 32 | 2022 |
| Hyperspectral anomaly detection via spatial density background purification B Tu, N Li, Z Liao, X Ou, G Zhang Remote Sensing 11 (22), 2618, 2019 | 29 | 2019 |
| Feature extraction via joint adaptive structure density for hyperspectral imagery classification B Tu, C Zhou, J Peng, G Zhang, Y Peng IEEE Transactions on Instrumentation and Measurement 70, 1-16, 2021 | 28 | 2021 |
| Ensemble EMD-based spectral-spatial feature extraction for hyperspectral image classification Q Li, B Zheng, B Tu, J Wang, C Zhou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 28 | 2020 |
| Cuckoo search algorithm with fuzzy logic and Gauss–Cauchy for minimizing localization error of WSN X Ou, M Wu, Y Pu, B Tu, G Zhang, Z Xu Applied Soft Computing 125, 109211, 2022 | 26 | 2022 |
| Spatial peak-aware collaborative representation for hyperspectral imagery classification C Zhou, B Tu, Q Ren, S Chen IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 26 | 2021 |
Chengle ZhouSun Yat-sen University在 mail2.sysu.edu.cn 的电子邮件经过验证
