Dr. Xiaokun Sun
Associate researcher, master's tutor
member of Information Science and Technology
Email: sunxk@buct.edu.cn
Background
Xiaokun Sun, associate researcher, master's tutor, graduated from National University of Defense Technology in 2008, majoring in electronic science and technology, and obtained a Ph.D. degree in engineering. 2008 to 2020. Worked in Beijing Institute of Remote Sensing Information, with main research interests in SAR satellite calibration and quality assessment, and SAR satellite applications, etc. Introduced to the School of Information Science and Technology of Beijing University of Chemical Technology as a high-level talent in 2021, and engaged in the research of remote sensing intelligent information processing. Presided over and participated in more than 10 national/provincial and ministerial research projects, and has won two first-class prizes for scientific and technological progress at provincial and ministerial levels, three second-class prizes and two third-class prizes, and has published more than 10 papers.
Areas of Research of Expertise
SAR information processing, SAR image quality assessment and applications.
Research
Funded Research Projects
Research on SAR Satellite Image Quality Optimization Method（Provincial and Ministerial Level Projects）
Research on SAR Satellite Image Quality Assessment Method（Provincial and Ministerial-level Projects）
Main Achievements & Awards
Satellite-Borne SAR Imaging Processing Technology (2014, Second-class Provincial and Ministerial Sci & Tec Progress Award)
Satellite-Borne SAR Radiometric Calibration Technology (2013, Second-class prize of Provincial and Ministerial-level Scientific and Technological Progress)
SAR Image Enhancement (Second-class Provincial and Ministerial Sci & Tec Progress Award, 2010)
Satellite-Borne SAR Radiation Correction Technology (2013, Third Prize of Provincial and Ministerial-level Scientific and Technological Progress)
Multi-band Multi-polarization SAR Image Decoding Technology (2011, Third Prize of Provincial and Ministerial-level Scientific and Technological Progress)
Five Representative Publications
Li T. Zhang F. Liang W. B. Sun X. K. * Zhou Y. S.. An end-to-end multi-mode modular simulation method for satellite-borne SAR. Radio Engineering, 2021, Vol. 12, pp.1414-1424.
Feixiang Zhang, Yongsheng Zhou , Xiaokun Sun*, et al. A Single Encoder-decoder Network for both Sea-land Segmentation and Small Vessel Detection in SAR The 2021 CIE International Conference on Radar.
Lin Zhiyuan, Ni Jun , Sun Xiaokun*, Yin Qiang, Zhang Fan. An Unsupervised PolSAR Scene Classification Method Based on Polarization Features and Anti-Noise Network. Proceedings of the Thirteenth National Conference on DSP Application Technology, 2021.
Sun Xiaokun* Huang Jianjun Zou Fei Zhang Yongjun. In-orbit SAR Satellite Oblique Distance Error Calibration Technique. Proceedings of Academic Exchange Conference, 2014, pp.658-662.
Sun Xiaokun* Han Chuanzhao Jia Chengli. A buried mine detection method based on frequency domain scattering characteristics. Annual Conference on High Resolution Earth Observation, 2012,4-052.
Sun Xiaokun*Zhou Zhimin Wang Jian. Calculation of electromagnetic scattering from buried metal mines. Microwave Journal, 2008, vol.24, pp.5-9.
SUN Xiaokun*ZHOU Zhimin. Calculation of electromagnetic scattering from buried media mines. Journal of System Simulation, 2008, Vol. 20, pp.5451-5454.
Sun Xiaokun* Wang Jian Zhou Zhimin. Calculation of electromagnetic scattering from buried mines equipped with metal fuses. Microwave Journal, 2008, Vol. 24 Supplement, pp.18-22.
Sun Xiaokun* Zhou Zhimin. Polarization filtering enhancement of buried landmine targets under micro roughness. Radar Science and Technology, 2008, Vol. 6, pp.165-170.
SUN Xiaokun* ZHANG Hanhua ZHOU Zhimin. Electromagnetic scattering characteristics of buried mines. Journal of Radio Wave Science, 2007, Vol. 22, pp.65-69.
