Machine learning in remote sensing applications

2010-8 to 2015-7, Department of Electronic Engineering, Tsinghua University, ph.D. student

2006-9 to 2010-7, School of Electronics and Information Engineering, Harbin Institute of Technology, undergraduate student

   

2019-07 to now, Associate Professor, Aerospace Information Research Institute, Chinese Academy of Sciences
2018-07 to 2019-07, Associate Professor, Institute of Electronics, Chinese Academy of Sciences
2015-07~2018-07, Assistant Professor, Institute of Electronics, Chinese Academy of Sciences

   

Featured Papers

52) 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. (SCI Journal, Top)

51) Shengqin Ma, Wenzhi Wang, Zongxu Pan, Yuxin Hu, Guangyao Zhou and Qiantong Wang^(*), “A recognition model incorporating geometric relationships of ship components,” Remote Sensing, vol. 16, no. 1, 130, 2024. (SCI Journal)

50) 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. (SCI Journal) Code is available at https://github.com/ckycoder/DSN_v2

49) Weixing Qiu and Zongxu Pan^(*), “Polarimetric synthetic aperture radar ship potential area extraction based on neighborhood semantic differences of the latent dirichlet allocation bag-of-words topic model,” Remote Sensing, vol. 15, no. 23, 5601, 2023. (SCI Journal)

48) 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.  (SCI Journal)

47) 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.  (SCI Journal)

46) Aersi Aliha, Yuhan Liu^(*), Yapeng Ma, Yuxin Hu, Zongxu Pan and Guangyao Zhou, “A spatial–temporal block-matching patch-tensor model for infrared small moving target detection in complex scenes,” Remote Sensing, vol. 15, no. 17, 4316, 2023.  (SCI Journal)

46) Xiao Zhou, Siyuan Li, Zongxu Pan, Guangyao Zhou^(*), and Yuxin Hu, “Multi-aspect SAR target recognition based on non-local and contrastive learning,” Mathematics, vol. 11, no. 12, 2690, 2023. (SCI Journal)

45) 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. (SCI Journal) Code is available at https://github.com/newborn6567/IAFAN

44) 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. (SCI Journal, Top)

43) Yongsheng Zhou, Hanchao Liu, Fei Ma, Zongxu Pan, and Fan Zhang^(*), “A sidelobe-aware small ship detection network for synthetic aperture radar imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. (SCI Journal, Top)

42) Weixing Qiu, Zongxu Pan^(*), and Jianwei Yang, “Few-shot PolSAR ship detection based on polarimetric features selection and improved contrastive self-supervised learning,” Remote Sensing, vol. 15, no. 7, 1874, 2023. (SCI Journal)

41) Zhentong Gao, Qiantong Wang, Zongxu Pan, Zhenyu Zhai and Hui Long^(*), “PointPainting: 3D object detection aided by semantic image information,” Sensors, vol. 23, no. 5, 2868, 2023. (SCI Journal) Code is available at https://gitee.com/koitsu/PointPainting_Plus

40) Yucheng Zhou, Kun Fu, Bing Han^(*), Junxin Yang, Zongxu Pan, Yuxin Hu and Di Yin, “D-MFPN: a doppler feature matrix fused with a multilayer feature pyramid network for SAR ship detection,” Remote Sensing, vol. 15, no. 3, 626, 2023. (SCI Journal)

39) Ziming Wang, Jianwei Yang, Zongxu Pan, Yuhan Liu^(*), Bin Lei, and Yuxin Hu, “APAFNet: single-frame infrared small target detection by asymmetric patch attention fusion,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. (SCI Journal)

38) Yapeng Ma, Yuhan Liu^(*), Zongxu Pan, and Yuxin Hu, “Method of infrared small moving target detection based on coarse-to-fine structure in complex scenes,” Remote Sensing, vol. 15, no. 6, 1508, 2023. (SCI Journal) Code is available at https://github.com/myp1229896165/MCFS

37) 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. (SCI Journal) Code is available at https://github.com/pierowu/cloudformer/tree/master

36) 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. (SCI Journal, Top) Code is available at https://github.com/JyuanShen/PISNet

35) 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. (SCI Journal)

34) 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. (SCI Journal, Top) Code is available at https://github.com/newborn6567/MRDAN_TGRS

33) 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. (SCI Journal, Top) Code is available at https://github.com/d1x1u/MAGE

32) 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. (SCI Journal, Top) Code is available at https://github.com/Lausen-Ng/FSANet

31) Zhenyu Zhai, Qiantong Wang^(*), Zongxu Pan, Zhentong Gao, and Wenlong Hu, “Muti-frame point cloud feature fusion based on attention mechanisms for 3D object detection,” Sensors, vol. 22, no. 19, 7473, 2022. (SCI Journal) Code is available at https://gitee.com/keep20/mfffnet

30) 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. (SCI Journal) Code is available at https://github.com/Fivege/self-supervised-PolSAR-representation-learning

29) 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. (SCI Journal) Code is available at https://github.com/ckycoder/SSL_SAR_ATR

28) 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. (SCI Journal) Code is available at https://github.com/SaraneSue/Multi-aspectConvolutional-Transformer

27) 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. (SCI Journal) Code is available at https://github.com/wobushishuiguo/PistonNet.git

26) 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. (SCI Journal) Code is available at https://github.com/Weisexingkong-wx/Residual-Channel-Attention-Network-for-Thin-Cloud-Removal

25) Qiyuan Lyu, Bing Han^(*), Guangzuo Li, Wei Sun, Zongxu Pan, Wen Hong, and Yuxin Hu, “SAR interference suppression algorithm based on low-rank and sparse matrix decomposition in time–frequency domain,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022. (SCI Journal)

24) 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. (SCI Journal) Code is available at https://github.com/myp1229896165/MFSTPT

23) JixiangWu, 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. (SCI Journal) Code is available at https://github.com/Lausen-Ng/LR-TSDet

22) Yuxin Hu, Yini Li, and Zongxu Pan^(*), “A dual-polarimetric SAR ship detection dataset and a memory-augmented autoencoder-based detection method,” Sensors, vol. 21, no. 24, 8478, 2021. (SCI Journal) Data is available at https://github.com/liyiniiecas/A_Dual-polarimetric_SAR_Ship_Detection_Dataset

21) 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. (SCI Journal, Top)

20) 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. (SCI Journal) Code is available at https://github.com/wobushishuiguo/Rotation-ship-detection.git

19) Pengfei Zhao, Lijia Huang^(*), Yu Xin, Jiayi Guo, and Zongxu Pan, “Multi-aspect SAR target recognition based on prototypical network with a small number of training samples,” Sensors, vol. 21, no. 13, 4333, 2021. (SCI Journal)

18) 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. (SCI Journal) Code is available at https://github.com/Weisexingkong-wx/YUV-GAN

17) 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. (SCI Journal) Code is available at https://github.com/Anquanzhi/CSAP

16) 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. (SCI Journal)

15) 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. (SCI Journal, Top)

14) 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. (SCI Journal, Top) Code is available at https://github.com/Alien9427/SAR_specific_models

13) Yunrui Guo, Zongxu Pan, Meiming Wang, Ji Wang, and Wenjing Yang^(*), “Learning capsules for SAR target recognition,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 4663-4673, Aug. 2020. (SCI Journal)

12) 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. (SCI Journal)

11) 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. (SCI Journal, Top) Code is available at https://github.com/ZongxuPan/DrBox-v2-tensorflow

10) 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. (SCI Journal, Top)

9) 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. (SCI Journal, Top)

8) Quanzhi An, Zongxu Pan^(*), and Hongjian You, “Ship detection in Gaofen-3 SAR images based on sea clutter distribution analysis and deep convolutional neural network,” Sensors, vol. 18, no. 2, 334, 2018. (SCI Journal)

7) Zhongling Huang, Zongxu Pan, and Bin Lei^(*), “Transfer learning with deep convolutional neural network for SAR target classification with limited labeled data,” Remote Sensing, vol. 9, no. 9, 907, 2017. (SCI Journal)

6) Jiwei Zhu^(*), Xiaolan Qiu, Zongxu Pan, Yueting Zhang, and Bin Lei, “Projection shape template-based ship target recognition in TerraSAR-X images,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 2, pp. 222-226, Feb. 2017. (SCI Journal)

5) Zongxu Pan^(*), Xiaolan Qiu, Zhongling Huang, and Bin Lei, “Airplane recognition in TerraSAR-X images via scatter cluster extraction and reweighted sparse representation,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 1, pp. 112-116, Jan. 2017. (SCI Journal)

4) Jiwei Zhu^(*), Xiaolan Qiu, Zongxu Pan, Yueting Zhang, and Bin Lei, “An improved shape contexts based ship classification in SAR images,” Remote Sensing, vol. 9, no. 2, 145, 2017. (SCI Journal)

3) 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. (SCI Journal)

2) Zongxu Pan^(*), Lei Liu, Xiaolan Qiu, and Bin Lei, “Fast vessel detection in Gaofen-3 SAR images with ultrafine strip-map mode,” Sensors, vol. 17, no. 7, 1578, 2017. (SCI Journal)

1) 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. (SCI Journal, Top)

Deep learning based target detection and recognition in optical remote sensing and synthetic aperture radar images

Restoration and super-resolution reconstruction of remote sensing images