| A scale-aware pyramid network for multi-scale object detection in SAR images L Tang, W Tang, X Qu, Y Han, W Wang, B Zhao Remote Sensing 14 (4), 973, 2022 | 35 | 2022 |
| Cloud detection in satellite images based on natural scene statistics and gabor features C Deng, Z Li, W Wang, S Wang, L Tang, AC Bovik IEEE Geoscience and Remote Sensing Letters 16 (4), 608-612, 2018 | 33 | 2018 |
| Multi-scale object detection by top-down and bottom-up feature pyramid network Z Baojun, Z Boya, T Linbo, W Wenzheng, W Chen Journal of Systems Engineering and Electronics 30 (1), 1-12, 2019 | 25 | 2019 |
| Deep spatial-temporal joint feature representation for video object detection B Zhao, B Zhao, L Tang, Y Han, W Wang Sensors 18 (3), 774, 2018 | 23 | 2018 |
| AccLoc: Anchor-Free and two-stage detector for accurate object localization Z Piao, J Wang, L Tang, B Zhao, W Wang Pattern Recognition 126, 108523, 2022 | 19 | 2022 |
| Boundary‐aware vehicle tracking upon UAV Y Han, H Wang, Z Zhang, W Wang Electronics Letters 56 (17), 873-876, 2020 | 18 | 2020 |
| Hyperspectral image classification via deep structure dictionary learning W Wang, Y Han, C Deng, Z Li Remote Sensing 14 (9), 2266, 2022 | 16 | 2022 |
| Spectral–spatial classification of hyperspectral remote sensing image based on capsule network S Jia, B Zhao, L Tang, F Feng, WZ Wang The Journal of Engineering 2019 (21), 7352-7355, 2019 | 10 | 2019 |
| Multiple frame splicing and degradation learning for hyperspectral imagery super-resolution C Deng, X Luo, W Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 9 | 2022 |
| An efficient spectral feature extraction framework for hyperspectral images Z Li, B Zhao, W Wang Remote Sensing 12 (23), 3967, 2020 | 8 | 2020 |
| Aircraft type recognition in remote sensing images: Bilinear discriminative extreme learning machine framework B Zhao, W Tang, Y Pan, Y Han, W Wang Electronics 10 (17), 2046, 2021 | 7 | 2021 |
| GenELM: Generative extreme learning machine feature representation S Zhou, C Deng, W Wang, GB Huang, B Zhao Neurocomputing 362, 41-50, 2019 | 7 | 2019 |
| Hierarchical sub-pixel anomaly detection framework for hyperspectral imagery W Wang, B Zhao, F Feng, J Nan, C Li Sensors 18 (11), 3662, 2018 | 7 | 2018 |
| A novel filter-based anomaly detection framework for hyperspectral imagery W Wang, W Song, Z Li, B Zhao, B Zhao IEEE Access 9, 124033-124043, 2021 | 6 | 2021 |
| An efficient and robust framework for hyperspectral anomaly detection L Tang, Z Li, W Wang, B Zhao, Y Pan, Y Tian Remote Sensing 13 (21), 4247, 2021 | 5 | 2021 |
| Compressive sensing based multiuser detector for massive MBM MIMO uplink S Wei, W Wenzheng Journal of Systems Engineering and Electronics 31 (1), 19-27, 2020 | 5 | 2020 |
| Constrained nonnegative matrix factorization for robust hyperspectral unmixing F Feng, C Deng, W Wang, J Dai, Z Li, B Zhao IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
| Robust low‐rank abundance matrix estimation for hyperspectral unmixing F Feng, B Zhao, L Tang, W Wang, S Jia The Journal of Engineering 2019 (21), 7406-7409, 2019 | 3 | 2019 |
| Low-rank and sparse tensor recovery for hyperspectral anomaly detection J Dai, C Deng, W Wang, X Liu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| Compressed spatial–spectral feature representation for hyperspectral ground classification Z Shichao, Z Baojun, T Linbo, W Wenzheng The Journal of Engineering 2019 (21), 7928-7931, 2019 | 2 | 2019 |
