SCHOOL OF EARTH AND SPACE SCIENCES, Peking University

Research Area

DATE：2018-05-24

Infomation
Name:	Peijun Li
Title:	Professor
Phone:	010-62757364
Position:
Email:	pjli@pku.edu.cn

ACADEMIC APPOINTMENTS
1992.09--1995.08	Ph.D.	Institute of Geology, CAS Sedimentology
1989.09--1992.07	M.S.	Nanjing University Structural Geology
1985.09--1989.07	B.S.	Shandong University of Science and Technology, Coal Geology

PROFESSIONAL PREPARATION
2009.08--to now	Professor, Peking University
1997.08--2009.07	Associate Professor, Peking University
1995.10--1997.09	Postdoctoral Fellowship, Peking University
1999.10--2000.10	Postdoctoral Fellowship, Kongju National University, Korea
2001.08--2002.08	Postdoctoral Fellowship, Seoul National University, Korea
2006.08--2006.11	Visiting Scholar, Bonn University, Germany
2011.11--2012.02	Visiting Scholar, Columbia University, USA

AWARDS AND FELLOWSHIPS
no record

RECENT COURSES TAUGHT
Introduction to Remote Sensing Applications in Remote Sensing Remote Sensing data analysis for applications

CURRENT PROFESSIONAL ACTIVITIES
Co-Chair, ISPRS WG 7/IV “Land cover classification techniques” Senior Member, IEEE GRSS Reviewer, Remote Sensing of Environment, IEEE TGRS, IEEE RSL, IEEE JSTARS, ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation (JAG), Photogrammetric Engineering and Remote Sensing, International Journal of Remote Sensing, Canadian Journal of Remote Sensing, Remote Sensing, Journal of Applied Remote Sensing, International Journal of Digital Earth

CURRENT PROFESSIONAL ACTIVITIES

Co-Chair, ISPRS WG 7/IV “Land cover classification techniques”
Senior Member, IEEE GRSS
Reviewer, Remote Sensing of Environment, IEEE TGRS, IEEE RSL, IEEE JSTARS, ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation (JAG), Photogrammetric Engineering and Remote Sensing, International Journal of Remote Sensing, Canadian Journal of Remote Sensing, Remote Sensing, Journal of Applied Remote Sensing, International Journal of Digital Earth

EXTERNAL RESEARCH GRANT HISTORY
no record

REFEREED PUBLICATIONS
Jing Liu, Peijun Li and Xue Wang, 2015, A new segmentation method for very high resolution imagery using spectral and morphological information, ISPRS Journal of Photogrammetry and Remote Sensing, 101, 145–162. Zhang, X. and Li, P., 2014, Lithological mapping from hyperspectral data by improved use of spectral angle mapper, International Journal of Applied Earth Observation and Geoinformation, 31, 95–109. Yang, J., Li, P. and He, Y., 2014, A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation. ISPRS Journal of Photogrammetry and Remote Sensing, 94 (2014) 13–24. Huiran Jin, Peijun Li, Tao Cheng and Benqin Song, 2012, Land cover classification using CHRIS/PROBA images and multitemporal texture. International Journal of Remote Sensing, 33(1), 101–119. Peijun Li, Jiancong Guo, Benqin Song and Xiaobai Xiao, 2011, A multilevel hierarchical image segmentation method for urban impervious surface mapping using very high resolution imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(1), 103-116. Peijun Li, Haiqing Xu, Benqin Song, 2011, A novel method of urban road damage detection using very high resolution satellite imagery and road map, Photogrammetric Engineering and Remote Sensing. 77(10), 1057-1066. Peijun Li and Haiqing Xu, 2010, Land-Cover Change Detection Using One-Class Support Vector Machine, Photogrammetric Engineering and Remote Sensing 76(3), 255-263. Peijun Li, Haiqing Xu and Jiancong Guo, 2010, Urban building damage detection from very high resolution imagery using One-Class SVM and spatial features. International Journal of Remote Sensing, 31(13), 3393-3409. Peijun Li, Tao Cheng, and Jiancong Guo, 2009, Multivariate image texture by multivariate variogram for multispectral image classification. Photogrammetric Engineering and Remote Sensing, 75(2), 147-157. Peijun Li, Xiaobai Xiao, 2007, Multispectral image segmentation by a multichannel watershed-based approach. International Journal of Remote Sensing. 28(19), 4429-4452.

REFEREED PUBLICATIONS

Jing Liu, Peijun Li and Xue Wang, 2015, A new segmentation method for very high resolution imagery using spectral and morphological information, ISPRS Journal of Photogrammetry and Remote Sensing, 101, 145–162.
Zhang, X. and Li, P., 2014, Lithological mapping from hyperspectral data by improved use of spectral angle mapper, International Journal of Applied Earth Observation and Geoinformation, 31, 95–109.
Yang, J., Li, P. and He, Y., 2014, A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation. ISPRS Journal of Photogrammetry and Remote Sensing, 94 (2014) 13–24.
Huiran Jin, Peijun Li, Tao Cheng and Benqin Song, 2012, Land cover classification using CHRIS/PROBA images and multitemporal texture. International Journal of Remote Sensing, 33(1), 101–119.
Peijun Li, Jiancong Guo, Benqin Song and Xiaobai Xiao, 2011, A multilevel hierarchical image segmentation method for urban impervious surface mapping using very high resolution imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(1), 103-116.
Peijun Li, Haiqing Xu, Benqin Song, 2011, A novel method of urban road damage detection using very high resolution satellite imagery and road map, Photogrammetric Engineering and Remote Sensing. 77(10), 1057-1066.
Peijun Li and Haiqing Xu, 2010, Land-Cover Change Detection Using One-Class Support Vector Machine, Photogrammetric Engineering and Remote Sensing 76(3), 255-263.
Peijun Li, Haiqing Xu and Jiancong Guo, 2010, Urban building damage detection from very high resolution imagery using One-Class SVM and spatial features. International Journal of Remote Sensing, 31(13), 3393-3409.
Peijun Li, Tao Cheng, and Jiancong Guo, 2009, Multivariate image texture by multivariate variogram for multispectral image classification. Photogrammetric Engineering and Remote Sensing, 75(2), 147-157.
Peijun Li, Xiaobai Xiao, 2007, Multispectral image segmentation by a multichannel watershed-based approach. International Journal of Remote Sensing. 28(19), 4429-4452.