| Transfer learning with deep convolutional neural network for SAR target classification with limited labeled data Z Huang, Z Pan, B Lei Remote sensing 9 (9), 907, 2017 | 466 | 2017 |
| Learning a rotation invariant detector with rotatable bounding box L Liu, Z Pan, B Lei arXiv preprint arXiv:1711.09405, 2017 | 261 | 2017 |
| What, where, and how to transfer in SAR target recognition based on deep CNNs Z Huang, Z Pan, B Lei IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2324-2336, 2019 | 206 | 2019 |
| DRBox-v2: An improved detector with rotatable boxes for target detection in SAR images Q An, Z Pan, L Liu, H You IEEE Transactions on Geoscience and Remote Sensing 57 (11), 8333-8349, 2019 | 161 | 2019 |
| Super-resolution based on compressive sensing and structural self-similarity for remote sensing images Z Pan, J Yu, H Huang, S Hu, A Zhang, H Ma, W Sun IEEE Transactions on Geoscience and Remote Sensing 51 (9), 4864-4876, 2013 | 157 | 2013 |
| Classification of large-scale high-resolution SAR images with deep transfer learning Z Huang, CO Dumitru, Z Pan, B Lei, M Datcu IEEE Geoscience and Remote Sensing Letters 18 (1), 107-111, 2020 | 121 | 2020 |
| Ship detection in Gaofen-3 SAR images based on sea clutter distribution analysis and deep convolutional neural network Q An, Z Pan, H You Sensors 18 (2), 334, 2018 | 118 | 2018 |
| Achieving super-resolution remote sensing images via the wavelet transform combined with the recursive res-net W Ma, Z Pan, J Guo, B Lei IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3512-3527, 2019 | 116 | 2019 |
| Super-resolution of single remote sensing image based on residual dense backprojection networks Z Pan, W Ma, J Guo, B Lei IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7918-7933, 2019 | 113 | 2019 |
| Deep SAR-Net: Learning objects from signals Z Huang, M Datcu, Z Pan, B Lei ISPRS Journal of Photogrammetry and Remote Sensing 161, 179-193, 2020 | 106 | 2020 |
| A sidelobe-aware small ship detection network for synthetic aperture radar imagery Y Zhou, H Liu, F Ma, Z Pan, F Zhang IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 78 | 2023 |
| Super-resolution of remote sensing images based on transferred generative adversarial network W Ma, Z Pan, J Guo, B Lei IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 66 | 2018 |
| SAR target classification with CycleGAN transferred simulated samples L Liu, Z Pan, X Qiu, L Peng IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 57 | 2018 |
| Projection shape template-based ship target recognition in TerraSAR-X images J Zhu, X Qiu, Z Pan, Y Zhang, B Lei IEEE Geoscience and Remote Sensing Letters 14 (2), 222-226, 2016 | 56 | 2016 |
| Super-resolution of remote sensing images via a dense residual generative adversarial network W Ma, Z Pan, F Yuan, B Lei Remote Sensing 11 (21), 2578, 2019 | 51 | 2019 |
| Inshore ship detection in SAR images based on deep neural networks L Liu, G Chen, Z Pan, B Lei, Q An IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 45 | 2018 |
| FSANet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images J Wu, Z Pan, B Lei, Y Hu IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 43 | 2022 |
| Fast vessel detection in Gaofen-3 SAR images with ultrafine strip-map mode Z Pan, L Liu, X Qiu, B Lei Sensors 17 (7), 1578, 2017 | 40 | 2017 |
| Generative adversarial learning in YUV color space for thin cloud removal on satellite imagery X Wen, Z Pan, Y Hu, J Liu Remote Sensing 13 (6), 1079, 2021 | 38 | 2021 |
| An effective network integrating residual learning and channel attention mechanism for thin cloud removal X Wen, Z Pan, Y Hu, J Liu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 35 | 2022 |