• 目标检测/跟踪

旋转目标检测

1. Quanzhi An, Zongxu Pan^(*), Lei Liu, and Hongjian You, “DRBox-v2: An Improved Detector With Rotatable Boxes for Target Detection in SAR Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 8333-8349, Nov. 2019.

2. Yi Yang, Zongxu Pan^(*), Yuxin Hu, and Chibiao Ding, “CPS-Det: An Anchor-Free Based Rotation Detector for Ship Detection,” Remote Sensing, vol. 13, no. 11, 2208, 2021.

3. Quanzhi An, Zongxu Pan^(*), Hongjian You, and Yuxin Hu, “Transitive Transfer Learning-Based Anchor Free Rotatable Detector for SAR Target Detection With Few Samples,” IEEE Access, vol. 9, pp. 24011-24025, 2021.

弱小目标检测

1. Jixiang Wu, Zongxu Pan^(*), Bin Lei, and Yuxin Hu, “FSANet: Feature-and-Spatial-Aligned Network for Tiny Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022.
2. Jixiang Wu, Zongxu Pan^(*), Bin Lei, and Yuxin Hu, “LR-TSDet: Towards Tiny Ship Detection in Low-Resolution Remote Sensing Images,” Remote Sensing, vol. 13, no. 19, 3890, 2021.
3. Yuxin Hu, Yapeng Ma, Zongxu Pan, and Yuhan Liu^(*), “Infrared Dim and Small Target Detection From Complex Scenes via Multi-Frame Spatial–Temporal Patch-Tensor Model,” Remote Sensing, vol. 14, no. 9, 2234, 2022.

小样本目标检测

1. Yanxing Liu, Zongxu Pan^(*), Jianwei Yang, Bingchen Zhang, Guangyao Zhou, Yuxin Hu, and Qixiang Ye, “Few-Shot Object Detection in Remote-Sensing Images via Label-Consistent Classifier and Gradual Regression,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.
2. Yanxing Liu, Zongxu Pan^(*), Jianwei Yang, Peiling Zhou, and Bingchen Zhang, “Multi-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images,” Remote Sensing, vol. 16, no. 24, 4693, 2024.
3. Hao Guo, Yanxing Liu, Zongxu Pan^(*), and Yuxin Hu, “Advancing Fine-Grained Few-Shot Object Detection on Remote Sensing Images with Decoupled Self-Distillation and Progressive Prototype Calibration,” Remote Sensing, vol. 17, no. 3, 495, 2025.

弱监督目标检测

1. Peng Liu, Zongxu Pan^(*), Bin Lei, and Yuxin Hu, “ITNet: Low-Shot Instance Transformation Network for Weakly Supervised Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.
2. Yi Yang, Zongxu Pan^(*), Yuxin Hu, and Chibiao Ding, “PistonNet: Object Separating From Background by Attention for Weakly Supervised Ship Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5190-5202, 2022.

序列图像目标跟踪

1. Jianwei Yang, Zongxu Pan^(*), Ziming Wang, Bin Lei, and Yuxin Hu, “SiamMDM: An Adaptive Fusion Network With Dynamic Template for Real-Time Satellite Video Single Object Tracking,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023.
2. Jianwei Yang, Zongxu Pan^(*), Yuhan Liu, Ben Niu, and Bin Lei, “Single Object Tracking in Satellite Videos Based on Feature Enhancement and Multi-Level Matching Strategy,” Remote Sensing, vol. 15, no. 17, 4351, 2023.
3. Qiantong Wang, Yuxin Hu^(*), Zongxu Pan, Fangjian Liu, and Bing Han, “Spatiotemporal Data Fusion and CNN Based Ship Tracking Method for Sequential Optical Remote Sensing Images From the Geostationary Satellite,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022.

目标检测数据增广

1. Keao Wang, Zongxu Pan^(*), and Zixiao Wen, “SVDDD: SAR Vehicle Target Detection Dataset Augmentation Based on Diffusion Model,” Remote Sensing, vol. 17, no. 2, 286, 2025.

• 目标识别/图像分类

小样本目标识别（迁移学习、半监督学习、自监督学习）

1. Zhongling Huang, Zongxu Pan^(*), and Bin Lei, “What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2324-2336, Apr. 2020.

2. Zhongling Huang, Corneliu Octavian Dumitru, Zongxu Pan, Bin Lei, and Mihai Datcu(*), “Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 1, pp. 107-111, Jan. 2021.
3. Keyang Chen, Zongxu Pan^(*), Zhongling Huang, Yuxin Hu, and Chibiao Ding, “Learning From Reliable Unlabeled Samples for Semi-Supervised SAR ATR,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022.
4. Wu Zhang, Zongxu Pan^(*), and Yuxin Hu, “Exploring PolSAR Images Representation via Self-Supervised Learning and Its Application on Few-Shot Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022.

多角度目标识别

1. Siyuan Li, Zongxu Pan^(*), and Yuxin Hu, “Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition,” Remote Sensing, vol. 14, no. 16, 3924, 2022.

结合特性的目标识别/图像分类

1. Zhongling Huang^(*), Mihai Datcu^(*), Zongxu Pan, and Bin Lei, “Deep SAR-Net: Learning Objects From Signals,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 161, pp. 179-193, Mar. 2020.
2. Zhongling Huang^(*), Mihai Datcu^(*), Zongxu Pan, Xiaolan Qiu, and Bin Lei, “HDEC-TFA: An Unsupervised Learning Approach for Discovering Physical Scattering Properties of Single-Polarized SAR Image,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3054-3071, Apr. 2021.
3. Keyang Chen, Zongxu Pan^(*), Ben Niu, Wen Hong, Yuxin Hu, and Chibiao Ding, “DSN-v2: Improving the Classification Ability to Man-Made and Natural Objects in SAR Images,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023.
4. Peiling Zhou, Zongxu Pan^(*), Yanxing Liu, and Ben Niu, “Sublook Contrastive Learning for SAR Representation Learning and Image Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 22, 2025.

多模态融合图像分类/建筑物提取

1. Di Xiu, Zongxu Pan^(*), Yirong Wu, and Yuxin Hu, “MAGE: Multisource Attention Network With Discriminative Graph and Informative Entities for Classification of Hyperspectral and LiDAR Data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022.
2. Baiyu Chen, Zongxu Pan^(*), Jianwei Yang, and Hui Long, “ACMFNet: Attention-Based Cross-Modal Fusion Network for Building Extraction of Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.

域自适应学习场景分类

1. Ben Niu, Zongxu Pan^(*), Jixiang Wu, Yuxin Hu, and Bin Lei, “Multi-Representation Dynamic Adaptation Network for Remote Sensing Scene Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022.
2. Ben Niu, Zongxu Pan^(*), Keyang Chen, Yuxin Hu, and Bin Lei, “Open Set Domain Adaptation via Instance Affinity Metric and Fine-Grained Alignment for Remote Sensing Scene Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023.

地物变化识别

1. Zhewei Wang, Zongxu Pan^(*), Yuxin Hu, and Bin Lei, “FRCD: Feature Refine Change Detection Network for Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023.
2. Zhewei Wang, Zongxu Pan^(*), Hui Long, and Yuxin Hu, “Enhanced Multitask Semantic Change Detection via Semi-Supervised Learning in LULC Segmentation Subtask,” IEEE Geoscience and Remote Sensing Letters, vol. 21, 2024.

增量学习场景分类

1. Yunze Wei, Zongxu Pan^(*), and Yirong Wu, “Class Bias Correction Matters: A Class-Incremental Learning Framework for Remote Sensing Scene Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, 2025.

• 遥感图像质量增强

可见光遥感图像超分辨率重建

1. Wen Ma, Zongxu Pan^(*), Jiayi Guo, and Bin Lei, “Achieving Super-Resolution Remote Sensing Images via the Wavelet Transform Combined With the Recursive Res-Net,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 6, pp. 3512-3527, Jun. 2019.
2. Zongxu Pan^(*), Wen Ma, Jiayi Guo, and Bin Lei, “Super-Resolution of Single Remote Sensing Image Based on Residual Dense Backprojection Networks,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 7918-7933, Oct. 2019.
3. Wen Ma, Zongxu Pan^(*), Feng Yuan, and Bin Lei, “Super-Resolution of Remote Sensing Images via a Dense Residual Generative Adversarial Network,” Remote Sensing, vol. 11, no. 21, 2578, 2019.
4. Zongxu Pan^(*), Jing Yu, Huijuan Huang, Shaoxing Hu, Aiwu Zhang, Hongbing Ma, and Weidong Sun, “Super-Resolution Based on Compressive Sensing and Structural Self-Similarity for Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4864-4876, Sep. 2013.

可见光遥感图像薄云去除

1. Xue Wen, Zongxu Pan^(*), Yuxin Hu, and Jiayin Liu, “An Effective Network Integrating Residual Learning and Channel Attention Mechanism for Thin Cloud Removal,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022.
2. Peiyang Wu, Zongxu Pan^(*), Hairong Tang, and Yuxin Hu, “Cloudformer: A Cloud-Removal Network Combining Self-Attention Mechanism and Convolution,” Remote Sensing, vol. 14, no. 23, 6132, 2022.
3. Xue Wen, Zongxu Pan^(*), Yuxin Hu, and Jiayin Liu, “Generative Adversarial Learning in YUV Color Space for Thin Cloud Removal on Satellite Imagery,” Remote Sensing, vol. 13, no. 6, 1079, 2021.

可见光遥感图像颜色校正

1. Jiayi Guo, Zongxu Pan, Bin Lei^(*), and Chibiao Ding, “Automatic Color Correction for Multisource Remote Sensing Images with Wasserstein CNN,” Remote Sensing, vol. 9, no. 5, 483, 2017.

雷达图像射频干扰抑制

1. Jiayuan Shen, Bing Han^(*), Zongxu Pan, Guangzuo Li, Yuxin Hu, and Chibiao Ding, “Learning Time–Frequency Information With Prior for SAR Radio Frequency Interference Suppression,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022.
2. Jiayuan Shen, Bing Han^(*), Xian Sun, Zongxu Pan, Kah Chan Teh, Jiaxin Wan, Xiaochen Wang, and Guangzuo Li, “A Lightweight Network for Radio Frequency Interference Suppression in SAR Amplitude Images Using Matrix Representation and Decomposition,” IEEE Transactions on Geoscience and Remote Sensing, vol. 63, 2025.
3. Jiayuan Shen, Bing Han^(*), Yang Li, Zongxu Pan, Di Yin, Yugang Feng, and Guangzuo Li, “A Radio Frequency Interference Screening Framework—From Quick-Look Detection Using Statistics-Assisted Network to Raw Echo Tracing,” Remote Sensing, vol. 16, no. 22, 4195, 2024.