| 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 |
| 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 |
| 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 |
| 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 |
| Physically explainable CNN for SAR image classification Z Huang, X Yao, Y Liu, CO Dumitru, M Datcu, J Han ISPRS Journal of Photogrammetry and Remote Sensing 190, 25-37, 2022 | 71 | 2022 |
| Explainable, physics-aware, trustworthy artificial intelligence: A paradigm shift for synthetic aperture radar M Datcu, Z Huang, A Anghel, J Zhao, R Cacoveanu IEEE Geoscience and Remote Sensing Magazine 11 (1), 8-25, 2023 | 61 | 2023 |
| Progress and perspective on physically explainable deep learning for synthetic aperture radar image interpretation Z Huang, X Yao, J Han Journal of Radar 11 (1), 107-125, 2021 | 34* | 2021 |
| HDEC-TFA: An unsupervised learning approach for discovering physical scattering properties of single-polarized SAR image Z Huang, M Datcu, Z Pan, X Qiu, B Lei IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3054-3071, 2020 | 28 | 2020 |
| Physics inspired hybrid attention for SAR target recognition Z Huang, C Wu, X Yao, Z Zhao, X Huang, J Han ISPRS Journal of Photogrammetry and Remote Sensing 207, 164-174, 2024 | 27 | 2024 |
| Airplane recognition in TerraSAR-X images via scatter cluster extraction and reweighted sparse representation Z Pan, X Qiu, Z Huang, B Lei IEEE Geoscience and Remote Sensing Letters 14 (1), 112-116, 2016 | 26 | 2016 |
| Uncertainty exploration: toward explainable SAR target detection Z Huang, Y Liu, X Yao, J Ren, J Han IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 22 | 2023 |
| Weakly supervised point cloud segmentation via deep morphological semantic information embedding W Xue, Y Yang, L Li, Z Huang, X Wang, J Han, D Zhang CAAI Transactions on Intelligence Technology 9 (3), 695-708, 2024 | 16 | 2024 |
| Learning from reliable unlabeled samples for semi-supervised SAR ATR K Chen, Z Pan, Z Huang, Y Hu, C Ding IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 15 | 2022 |
| Physics-aware feature learning of SAR images with deep neural networks: A case study Z Huang, CO Dumitru, J Ren 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1264 …, 2021 | 13 | 2021 |
| A hybrid and explainable deep learning framework for SAR images Z Huang, M Datcu, Z Pan, B Lei IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 9 | 2020 |
| SAR-HUB: Pre-training, fine-tuning, and explaining H Yang, X Kang, L Liu, Y Liu, Z Huang Remote Sensing 15 (23), 5534, 2023 | 7 | 2023 |
| Explainable deep learning for SAR data M Datcu, V Andrei, CO Dumitru, Z Huang, G Schwarz, J Zhao | 7 | 2019 |
| Aleatoric uncertainty embedded transfer learning for sea-ice classification in sar images Y Liu, Z Huang, J Han IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 6 | 2022 |
| 基于子孔径与全孔径特征学习的 SAR 多通道虚假目标鉴别 马琳， 潘宗序， 黄钟泠， 韩冰， 胡玉新， 周晓， 雷斌 雷达学报 10 (1), 159-172, 2021 | 6* | 2021 |
| 基于时频分析的 SAR 目标微波视觉特性智能感知方法与应用 黄钟泠， 吴冲， 姚西文， 王立鹏， 韩军伟 雷达学报 13 (2), 331-344, 2023 | 4* | 2023 |
Zongxu PanAerospace Information Research Institute, Chinese Academy of Sciences確認したメール アドレス: mail.ie.ac.cn