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              教师详情
              • 个人信息
                殷君君

                yinjunjun

                系      所:
                |计算机科学与技术系|物联网与电子工程系|
                职      称:
                副教授  
                职      务:
                办公地点:
                逸夫楼802A
                办公电话:
                13260015764
                电子邮箱:
                junjun_yin@ustb.edu.cn
                本 科 课 程:
                机器学习 模式识别基础 电磁场与电磁波(2017-2018)
                研究生课程:
                模式识别
                科 研 方 向:
                图像处理 机器视觉 模式识别算法、统计学习 遥感图像处理及应用
                学术与社会兼职:
                IEEE Senior Member 西班牙高分辨率卫星CEIT-PAZ科学探索计划yobet体育官网,Principal Investigator, PI (2019-2022) 日本宇航中心(JAXA)星载ALOS/PALSAR Co-Investigator, CoI (2013-2016)
              • 简   历

                2003.09-2007.07  北京理工大学,电子信息工程专业,学士学位(2007年北京市优秀毕业生)

                2007.09-2013.07  清华大学yobet体育官网,电子工程系,博士学位

                2012.09-2013.04  澳大利亚CSIRO数学、信息与统计研究所(Perth),联合培养博士生(GEO-FCT Initiative Project

                2013.07-2015.07  清华大学 电子科学与技术,助理研究员

                2014.04-2015.06 加拿大曼尼托巴大学(University of Manitoba)地质科学学院(Dept. Geological Sciences)yobet体育官网,博士后(funded by Carbon Management Canada,CMC

                2015.07-2016.06  北京科技大学 计算机与通信工程学院yobet体育官网,讲师

                2016.07-至今  北京科技大学 计算机与通信工程学院yobet体育官网,副教授

                2018.06-2019.06  德国宇航中心(German Aerospace Center, DLR)微波雷达所(Microwaves and Radar Institute),客座科学家

                研究生招生专业:计算机科学与技术、信息与通信工程

              • 代表性论文

                 

                【期刊】

                   [1]          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.

                   [2]          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.

                   [3]          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.

                   [4]          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.

                   [5]          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.

                   [6]          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.

                   [7]          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.

                   [8]          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.

                   [9]          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.

                [10]          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.

                [11]          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.

                [12]          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.

                [13]          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.

                [14]          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.

                [15]          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.

                【专著】

                  [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》yobet体育官网,科学出版社,2019.

                 

                 

                 

              • 科研业绩

                纵向项目

                负责人:

                1. 国家自然科学基金(61771043):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

                2. 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

                3. 北京科技大学科研基金:4项,FRF-TP-15-090A1,FRF-TP-18-013A2,FRF-IDRY-19-008,FRF-GF-19-017B

                4. 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

                横向项目

                负责人:

                1. 目标检测类,清华大学,4项(2016, 2018, 2020, 2020

                2. 图像解译类yobet体育官网,航天二院yobet体育官网,1项(2018

                3. 目标检测类,航天八院yobet体育官网,1项(2020

              • 获得奖励/专利

                专利:

                获得授权的国家发明专利7项。

                获奖:

                [1] 2016 第九届国际发明博览会‘发明创业奖?项目奖’,中国发明协会,金奖

                [2] 2016 Ali & Home Prize (The 9th international exhibition of Inventions, IEIK 2016)yobet体育官网,中国发明协会,国际友人奖

                [3] The Institute of Electronics, Information and Communication Engineers (IEICE), Young Scientist Awards (2017)

              • 计通NEWS
              • 索思
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