| HRSID: A high-resolution SAR images dataset for ship detection and instance segmentation S Wei, X Zeng, Q Qu, M Wang, H Su, J Shi Ieee Access 8, 120234-120254, 2020 | 411 | 2020 |
| SAR ship detection dataset (SSDD): Official release and comprehensive data analysis T Zhang, X Zhang, J Li, X Xu, B Wang, X Zhan, Y Xu, X Ke, T Zeng, H Su, ... Remote Sensing 13 (18), 3690, 2021 | 260 | 2021 |
| LS-SSDD-v1. 0: A deep learning dataset dedicated to small ship detection from large-scale Sentinel-1 SAR images T Zhang, X Zhang, X Ke, X Zhan, J Shi, S Wei, D Pan, J Li, H Su, Y Zhou, ... Remote Sensing 12 (18), 2997, 2020 | 183 | 2020 |
| HOG-ShipCLSNet: A novel deep learning network with hog feature fusion for SAR ship classification T Zhang, X Zhang, X Ke, C Liu, X Xu, X Zhan, C Wang, I Ahmad, Y Zhou, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-22, 2021 | 142 | 2021 |
| Precise and robust ship detection for high-resolution SAR imagery based on HR-SDNet S Wei, H Su, J Ming, C Wang, M Yan, D Kumar, J Shi, X Zhang Remote Sensing 12 (1), 167, 2020 | 120 | 2020 |
| Object detection and instance segmentation in remote sensing imagery based on precise mask R-CNN H Su, S Wei, M Yan, C Wang, J Shi, X Zhang IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 94 | 2019 |
| Balance learning for ship detection from synthetic aperture radar remote sensing imagery T Zhang, X Zhang, C Liu, J Shi, S Wei, I Ahmad, X Zhan, Y Zhou, D Pan, ... ISPRS Journal of Photogrammetry and Remote Sensing 182, 190-207, 2021 | 93 | 2021 |
| HQ-ISNet: High-quality instance segmentation for remote sensing imagery H Su, S Wei, S Liu, J Liang, C Wang, J Shi, X Zhang Remote Sensing 12 (6), 989, 2020 | 81 | 2020 |
| Balance scene learning mechanism for offshore and inshore ship detection in SAR images T Zhang, X Zhang, J Shi, S Wei, J Wang, J Li, H Su, Y Zhou IEEE geoscience and remote sensing letters 19, 1-5, 2020 | 76 | 2020 |
| Intra‐pulse modulation radar signal recognition based on CLDN network S Wei, Q Qu, H Su, M Wang, J Shi, X Hao IET Radar, Sonar & Navigation 14 (6), 803-810, 2020 | 61 | 2020 |
| Efficient low-cost ship detection for SAR imagery based on simplified U-Net Y Mao, Y Yang, Z Ma, M Li, H Su, J Zhang IEEE Access 8, 69742-69753, 2020 | 57 | 2020 |
| Intra-pulse modulation radar signal recognition based on Squeeze-and-Excitation networks S Wei, Q Qu, H Su, J Shi, X Zeng, X Hao Signal, Image and Video Processing 14, 1133-1141, 2020 | 17 | 2020 |
| Ship detection for SAR imagery based on deep learning: A benchmark Y Mao, X Li, H Su, Y Zhou, J Li 2020 IEEE 9th Joint International Information Technology and Artificial …, 2020 | 10 | 2020 |
| Ship detection based on RetinaNet-plus for high-resolution SAR imagery H Su, S Wei, M Wang, L Zhou, J Shi, X Zhang 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 1-5, 2019 | 8 | 2019 |
| Radar signal recognition based on squeeze-and-excitation networks Q Qu, S Wei, H Su, M Wang, J Shi, X Hao 2019 IEEE International Conference on Signal, Information and Data …, 2019 | 5 | 2019 |
| Efficient autofocus of small multi‐rotor UAV SAR by minimum entropy BP algorithm H Su, S Wei, X Zhang, L Pu, X Yang The Journal of Engineering 2019 (21), 7356-7359, 2019 | 4 | 2019 |
| Faster and Better Instance Segmentation for Large Scene Remote Sensing Imagery H Su, P Huang, J Yin, X Zhang IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Precise Autofocus for SAR Imaging Based on Joint Multi-Region Optimization L Zhou, X Zhang, Y Wang, C Wang, H Su, J Shi, S Wei IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 2 | 2019 |
| Object Recognition of Three-dimensional SAR Based on PointNet M Wang, S Wei, H Su, Q Qu, M Yan, J Shi 2019 IEEE International Conference on Signal, Information and Data …, 2019 | 1 | 2019 |
| Sa-bilasar down-looking 3-d imaging based on sparse bayesian reconstruction M Yan, S Wei, H Su, X Zhang, J Shi IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
