Yin Junjun
2013年获得清华大学工学博士学位。研究方向为极化雷达应用基础理论、极化SAR图像理解、海洋生态遥感及生态环境变化监测等。近年来，在物理散射机制、图像分割、目标分类以及目标检测等方面，在IEEE TGRS, IEEE JSTARS, IEEE GRSL 等国际杂志和IEEE Radar Conf., IGARSS等国际会议，以及国内重要期刊上发表论文100余篇，出版专著2部、英文合著1部。获得2016年国际发明博览会金奖、国际友人奖以及2022年日内瓦国际发明博览会银奖，获得2017年国际三航大会青年科学家奖，获得2021年北京市自然科学奖一等奖。主持国家自然科学基金优秀青年科学基金、面上基金，国家重点研发计划项目课题以及其他项目多项；担任IEEE TGRS副主编。
代表专著：出版专著2部、英文合著1部。
1. Junjun Yin (殷君君) and Jian Yang, Chapter 9, Target Feature Extraction with Polarimetric Radar, 《Electromagnetic Scattering, A Remote Sensing Perspective》, Y. Du, World Scientific, 2017.
2. 杨健，殷君君,《极化雷达理论与遥感应用》，科学出版社，2020.
3. 殷君君，杨健，林慧平，金侃，《极化SAR图像目标检测与分类》，国防工业出版社，2023.
代表期刊：在IEEE TGRS, IEEE JSTARS, IEEE GRSL 等国际期刊和IGARSS等国际会议，以及国内重要期刊上发表论文100余篇。
1. H. Lin, J. Yin (殷君君), J. Yang and F. Xu, “Interpreting Neural Network Pattern With Pruning for PolSAR Target Recognition,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024.
2. J. Xue, J. Yin (殷君君), J. Yang, “MtAD-Net: Multi-Threshold Adaptive Decision Net for Unsupervised Synthetic Aperture Radar Ship Instance Segmentation,” Remote Sensing, 2025, 17, 593.
3. 殷君君, 罗嘉豪, 李响, 等. 基于极化SAR梯度和复Wishart分类器的舰船检测. 雷达学报(中英文), 2024, 13(2): 396–397.
4. X. Guo, J. Yin (殷君君), Yang J. “Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images,” GIScience & Remote Sensing, 2024, 03.
5. X. Guo, J. Yin (殷君君), K. Li et al. “Gini coefficient-based feature learning for unsupervised compact polarimetric SAR cross-domain image classification,” Agriculture-basel, 2024.
6. X. Guo, J. Yin (殷君君), K. Li et al. “Fine classification and phenological analysis of rice paddy based on multi-temporal compact polarimetric SAR data,” Frontiers in Plant Science, 2024.
7. Y. Fan, J. Yin (殷君君), Yang J. “Oil Tank Detection and Recognition via Monogenic Signal,” Remote Sens, 2024, 16, 676.
8. J. Yin (殷君君), C. Duan, H. Wang and J. Yang, “A Review on the Few-Shot SAR Target Recognition,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 16411-16425, 2024.
9. Yao, Bowen, Junjun Yin (殷君君) and Jian Yang. “A Comparison of Scattering Vector Parametrization Methods,” IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (2024): 11275-11279.
10. 罗嘉豪, 殷君君, 杨健. 基于超像素与稀疏重构显著性的极化SAR舰船检测. 工程科学学报, 2023, 45(10): 1684-1692.
11. X. Guo, J. Yin (殷君君), K. Li et al, “Fine Classification of Rice Paddy Based on RHSI-DT Method Using Multi-Temporal Compact Polarimetric SAR Data,” Remote Sensing, 2021, 13(24): 5060.
12. 曾顶, 殷君君, 杨健. 基于融合距离的极化SAR图像非局部均值滤波.系统工程与电子技术:1-13.
13. Y. Fan, J. Yin and J. Yang, “SAR Target Recognition Via Features Extracted From Monogenic Signal,” IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 7471-7474.
14. 罗嘉豪, 殷君君, 杨健. 基于超像素与稀疏重构显著性的极化SAR舰船检测. 工程科学学报.
15. X. Guo, J. Yin (殷君君), K. Li et al, “Scattering Intensity Analysis and Classification of Two Types of Rice Based on Multi-Temporal and Multi-Mode Simulated Compact Polarimetric SAR Data,” Remote Sensing, 2022, 14(7): 1644.
16. X. Zhang, J. Yin, J (殷君君). Yang and X. Guo, “Region-based change detection for polarimetric SAR images,” IEEE International Geoscience and Remote Sensing Symposium 2022. IEEE, 2022.
17. J. Yin (殷君君), T. Wang, Y. Du, et al, “SLIC Superpixel Segmentation for Polarimetric SAR Images,” IEEE Transactions on Geoscience and Remote Sensing, 60: 1-17, 2021.
18. X. Guo, J. Yin (殷君君), K. Li, and J. Yang, “Fine Classification of Rice Paddy Based on RHSI-DT Method Using Multi-Temporal Compact Polarimetric SAR Data,” Remote Sensing, 13(24): 5060, 2021.
19. 代晓康, 殷君君, 杨健. 基于Wishart距离和超像素的极化SAR图像车辆检测, 系统工程与电子技术, Vol. 43, Issue (10): 2766-2774, 2021.
20. 殷君君, 彭嘉耀, 杨健, 刘希韫. 基于局部竞争策略的极化SAR图像精细分类, 雷达科学与技术, Vol. 19, Issue (05): 499-508+516, 2021.
21. J. Yin (殷君君) and J. Yang, “Target Decomposition Based on Symmetric Scattering Model for Hybrid Polarization SAR Imagery,” IEEE Geosci. Remote Sens. Lett., June 2020.
22. J. Yin (殷君君), J. Yang, L. Zhou and L. Xu, “Oil Spill Discrimination by Using General Compact Polarimetric SAR Features”, Remote Sensing, vol. 12, no. 3, pp. 479-494, Feb. 2020.
23. J. Yin (殷君君), X. Liu, J. Yang, C. Chu and Y. Chang, “PolSAR Image Classification Based on Statistical Distribution and MRF”, Remote Sensing, vol. 12, no. 6, pp. 1027-1049, Mar. 2020.
24. J. Yin (殷君君), K. Papathanassiou, and J. Yang, “Formalism of compact polarimetric descriptors and extension of the ∆αB/αB method for general compact-pol SAR,” IEEE Trans. Geosci. Remote Sensing, vol. 57, no. 12, pp. 10322-10335, Dec. 2019.
25. J. Yin (殷君君), K. Papathanassiou, J. Yang, and P. Chen, “Least-squares estimation for pseudo Quad-Pol image reconstruction from linear compact polarimetric SAR,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 12, no. 10, pp. 3746-3758, Oct. 2019.
26. J. Yin (殷君君), J. Yang, and Q. Zhang, “Assessment of GF-3 polarimetric SAR data for physical scattering mechanism analysis and terrain classification,” Sensors, vol. 17, 2017.
27. J. Yin (殷君君), W. M. Moon, and J. Yang, “Novel model-based method for identification of scattering mechanisms in polarimetric SAR data,” IEEE Trans. Geosci. Remote Sensing, vol. 54, no. 1, pp. 520-532, Jan. 2016.
28. J. Yin (殷君君), W. M. Moon, and J. Yang, “Model-based pseudo quad-pol reconstruction from compact polarimetry and its application to oil-spill observation,” Journal of Sensors, vol. 2015, pp. 1-8, 2015.
29. J. Yin (殷君君), Z.-S Zhou, W. M. Moon, R. Jin, and P. A. Caccetta, “The Use of a modified GOPCE method for forest and nonforest discrimination,” IEEE Geosci. Remote Sens. Lett., vol. 12, no. 5., pp. 1076-1080, May 2015.
30. J. Yin (殷君君), J. Yang, Z.-S. Zhou, and J. Song, “The extended-Bragg scattering model-based method for ship and oil-spill observation using compact polarimetric SAR,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 8, no.8, pp. 3760-3772, Aug. 2015.
31. J. Yin (殷君君) and J. Yang, “A modified level set approach for segmentation of multiband polarimetric SAR images,” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7222-7232, Nov. 2014.
32. J. Yin (殷君君) and J. Yang, “Multi-polarization reconstruction from compact polarimetry based on modified four-component scattering decomposition,” Journal of Systems Engineering and Electronics, vol. 25, no. 3, pp. 399-410, June 2014.
33. J. Yin (殷君君), J. Yang, C. Xie, Q. Zhang., Y. Li, and Y. Qi, “An improved generalized optimization of polarimetric contrast enhancement and its application to ship detection,” IEICE Trans. Communications, vol. E96-B, no. 7, pp. 2005-2013, July 2013.
34. R. Jin, J. Yin(殷君君), W. Zhou, and J. Yang, “An Improved Level Set Segmentation Algorithm for High Resolution Polarimetric SAR Images Based on a Heterogeneous Clutter Model,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 99, pp. 1-15, June 2017.
35. R. Jin, J. Yin(殷君君), W. Zhou, and J. Yang, “Improved Multiscale Edge Detection Method for Polarimetric SAR Images,” IEEE Geosci. Remote Sens. Lett., vol. 13, no. 8, pp. 1104-1108, Aug. 2016.
纵向项目：
1. 国家自然科学基金-优秀青年科学基金：极化合成孔径雷达图像解译（2023，负责人）
2. 国家重点研发计划：北斗精密定位与地基雷达遥感融合的船舶精准识别及应用示范（2025，课题负责人）
2. 国家自然科学基金-面上项目：基于多波段极化SAR数据融合的地物分类和跨场景分类理论与方法（2022，负责人）
3. 国家自然科学基金-面上项目：基于全极化和紧缩极化SAR图像的地物变化检测理论和方法研究（2018，负责人）
4. ZB预言重点实验室基金：紧缩极化SAR海面舰船目标检测关键技术研究（2020，负责人）
5. JW科技委基础加强课题、重点联合基金（2020，2022）
6. 探花视频
科研基金：6项，FRF-TP-15-090A1，FRF-TP-18-013A2，FRF-IDRY-19-008，FRF-GF-19-017B等
7. 国际合作基金：极化SAR在城乡环境变化监测中的应用理论研究（2019，负责人）
横向项目：
1. 目标检测类，清华大学，4项（2016, 2018, 2020, 2020）
2. 图像解译类，航天二院，3项（2018，2021，2023）
3. 目标检测类，航天八院，1项（2020）
4. 极化散射特性，平湖实验室，1项（2024）
获奖：
1. 北京市自然科学奖，一等奖，北京市人民政府（2021）
2. 青年科学家奖，日本电子情报通信协会（IEICE，2017）
3. 国际发明奖，金奖，第九届国际发明展览会（2016）
4. Ali & Homa Prize，第九届国际发明展览会（2016）
5. 日内瓦国际发明奖，银奖，日内瓦国际发明展览会（2022）
专利：
获得授权的国家发明专利10余项
