Yin Junjun
2003.09-2007.07 Beijing Institute of Technology, Electronic Information Engineering, bachelor's degree (2007 Beijing Excellent Graduate)
2007.09-2013.07 Tsinghua University, Department of Electronic Engineering, PhD
2012.09-2013.04 Australia CSIRO Institute of Mathematics, Information and Statistics (Perth), joint training of doctoral students (GEO-FCT Initiative Project)
2013.07-2015.07 Tsinghua University Electronic Science and Technology, Assistant Researcher
2014.04-2015.06 University of Manitoba (University of Manitoba) College of Geological Sciences (Dept. Geological Sciences), Postdoctoral (funded by Carbon Management Canada, CMC)
2015.07-2016.06 Lecturer, School of Computer and Communication Engineering, University of Science and Technology Beijing
2016.07-present, Associate Professor, School of Computer and Communication Engineering, University of Science and Technology Beijing
2018.06-2019.06 German Aerospace Center (DLR) Microwaves and Radar Institute, guest scientist
Postgraduate Admissions Major: Computer Science and Technology, Information and Communication Engineering
[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), WM 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), WM 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, WM Moon, R. Jin, and PA 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.
【focus on】
[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] Yang Jian, Yin Junjun, "Polarization Radar Theory and Remote Sensing Application", Science Press, 2019.
Vertical project
principal:
1. National Natural Science Foundation of China (61771043): Research on the theory and method of ground feature change detection based on fully polarized and compressed polarized SAR images (2018)
2. ZB Prediction Key Laboratory Fund: Research on Key Technologies of Target Detection of Vessels on the Sea Surface of Tight Polarization SAR (2020)
3. Research Fund of University of Science and Technology Beijing: 4 items, FRF-TP-15-090A1, FRF-TP-18-013A2, FRF-IDRY-19-008, FRF-GF-19-017B
4. International Cooperation Fund: Theoretical Research on the Application of Polarization SAR in Urban and Rural Environmental Change Monitoring (2019)
Horizontal project
principal:
1. Target detection category, Tsinghua University, 4 items (2016, 2018, 2020, 2020)
2. Image interpretation category, the Second Academy of Aerospace Engineering, 1 item (2018)
3. Target detection category, the Eighth Academy of Aerospace Engineering, 1 item (2020)
patent:
7 authorized national invention patents.
Awards:
[1] 2016 Ninth International Invention Expo ‘Invention Entrepreneurship Award·Project Award’, China Invention Association, Gold Award
[2] 2016 Ali & Home Prize (The 9th international exhibition of Inventions, IEIK 2016), China Invention Association, International Friends Award
[3] The Institute of Electronics, Information and Communication Engineers (IEICE), Young Scientist Awards (2017)