| Scrdet: Towards more robust detection for small, cluttered and rotated objects X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 530 | 2019 |
| Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks X Yang, H Sun, K Fu, J Yang, X Sun, M Yan, Z Guo Remote sensing 10 (1), 132, 2018 | 461 | 2018 |
| Change detection based on deep siamese convolutional network for optical aerial images Y Zhan, K Fu, M Yan, X Sun, H Wang, X Qiu IEEE Geoscience and Remote Sensing Letters 14 (10), 1845-1849, 2017 | 352 | 2017 |
| Automatic target detection in high-resolution remote sensing images using spatial sparse coding bag-of-words model H Sun, X Sun, H Wang, Y Li, X Li IEEE Geoscience and Remote Sensing Letters 9 (1), 109-113, 2011 | 253 | 2011 |
| A densely connected end-to-end neural network for multiscale and multiscene SAR ship detection J Jiao, Y Zhang, H Sun, X Yang, X Gao, W Hong, K Fu, X Sun IEEE Access 6, 20881-20892, 2018 | 235 | 2018 |
| MARTA GANs: Unsupervised representation learning for remote sensing image classification D Lin, K Fu, Y Wang, G Xu, X Sun IEEE Geoscience and Remote Sensing Letters 14 (11), 2092-2096, 2017 | 193 | 2017 |
| Efficient saliency-based object detection in remote sensing images using deep belief networks W Diao, X Sun, X Zheng, F Dou, H Wang, K Fu IEEE geoscience and remote sensing letters 13 (2), 137-141, 2016 | 186 | 2016 |
| FMSSD: Feature-merged single-shot detection for multiscale objects in large-scale remote sensing imagery P Wang, X Sun, W Diao, K Fu IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3377-3390, 2019 | 165 | 2019 |
| Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images K Fu, Z Chang, Y Zhang, G Xu, K Zhang, X Sun ISPRS Journal of Photogrammetry and Remote Sensing 161, 294-308, 2020 | 162 | 2020 |
| Position detection and direction prediction for arbitrary-oriented ships via multitask rotation region convolutional neural network X Yang, H Sun, X Sun, M Yan, Z Guo, K Fu IEEE access 6, 50839-50849, 2018 | 156 | 2018 |
| A new method on inshore ship detection in high-resolution satellite images using shape and context information G Liu, Y Zhang, X Zheng, X Sun, K Fu, H Wang IEEE geoscience and remote sensing letters 11 (3), 617-621, 2013 | 156 | 2013 |
| Oriented objects as pairs of middle lines H Wei, Y Zhang, Z Chang, H Li, H Wang, X Sun ISPRS Journal of Photogrammetry and Remote Sensing 169, 268-279, 2020 | 154 | 2020 |
| AIR-SARShip-1.0: High-resolution SAR ship detection dataset SUN Xian, W Zhirui, SUN Yuanrui, D Wenhui, Z Yue, FU Kun 雷达学报 8 (6), 852-863, 2019 | 141 | 2019 |
| An anchor-free method based on feature balancing and refinement network for multiscale ship detection in SAR images J Fu, X Sun, Z Wang, K Fu IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1331-1344, 2020 | 128 | 2020 |
| Object detection in high-resolution remote sensing images using rotation invariant parts based model W Zhang, X Sun, K Fu, C Wang, H Wang IEEE Geoscience and Remote Sensing Letters 11 (1), 74-78, 2013 | 126 | 2013 |
| FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery X Sun, P Wang, Z Yan, F Xu, R Wang, W Diao, J Chen, J Li, Y Feng, T Xu, ... ISPRS Journal of Photogrammetry and Remote Sensing 184, 116-130, 2022 | 123 | 2022 |
| DABNet: Deformable contextual and boundary-weighted network for cloud detection in remote sensing images Q He, X Sun, Z Yan, K Fu IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 120 | 2021 |
| Triplet-based semantic relation learning for aerial remote sensing image change detection M Zhang, G Xu, K Chen, M Yan, X Sun IEEE Geoscience and Remote Sensing Letters 16 (2), 266-270, 2018 | 118 | 2018 |
| Aircraft recognition in high-resolution satellite images using coarse-to-fine shape prior G Liu, X Sun, K Fu, H Wang IEEE Geoscience and Remote Sensing Letters 10 (3), 573-577, 2012 | 117 | 2012 |
| PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery X Sun, P Wang, C Wang, Y Liu, K Fu ISPRS Journal of Photogrammetry and Remote Sensing 173, 50-65, 2021 | 116 | 2021 |
