Introduction to remote sensing, Fundamentals of spatial information science, Remote sensing data analysis methods for applications

Member of Editorial Advisory Board, ISPRS Journal of Photogrammetry and Remote Sensing

Senior Member, IEEE GRSS

Co-Chair, Working Group 4 of Technical Commission VII, ISPRS

1)    Song, B., Li, P., Li, J. and Plaza, A. 2016, One-Class Classification of Remote Sensing Images using Kernel Sparse Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(4), 1613-1623

2)    Cai, C., Li, P. and Jin, H., 2016, Extraction of Urban Impervious Surface Using Two-Season WorldView-2 Images: A Comparison, Photogrammetric Engineering and Remote Sensing, 82(5), 335–349.

3)    Mazher, A., Li, P., Moughal, T.A. & Xu, H., 2016, A decision fusion method using an algorithm for fusion of correlated probabilities, International Journal of Remote Sensing, 37:1, 14-25.

4)    Liu, J., Li, P. and Wang, X., 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.

5)    Wang, X.; Li, P., 2015, Extraction of earthquake-induced collapsed buildings using Very High Resolution imagery and airborne Lidar data, International Journal of Remote Sensing, 36:8, 2163-2183.

6)    Zhang, X., Li, P. and Cai, C., 2015, Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification. Remote Sensing, 7, 7671-7694.

7)    Song, B., Li, J., Mura, M.D., Li, P., Plaza, A., Bioucas-Dias, J.M., Benediktsson, J.A. and Chanussot, J., 2014, Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles, IEEE Transactions on geoscience and remote sensing, 52(8), 5122-5136.

8)    Song, B. and Li, P., 2014, A Novel Decision Fusion Method Based on Weights of Evidence Model. International Journal of Image and Data Fusion, 5(2), 123-137.

9)    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.

10)  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.

11)  Zhang, J., Li, P., and Wang, J., 2014. Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture. Remote Sensing, 6(8), 7339-7359.

12)  Jin, H., Li, P., Cheng, T. and Song, B., 2012, Land cover classification using CHRIS/PROBA images and multitemporal texture. International Journal of Remote Sensing, 33(1), 101–119.

13)  Jin, H., Mountrakis, G. and Li, P., 2012, A super-resolution mapping method using local indicator variograms. International Journal of Remote Sensing, 33(24), 7747–7773.

14)  Li, P., Xu, H., Song, B., 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.

15)  Li, P., Guo, J., Song, B. and Xiao, X., 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.

16)  Li, P., Xu, H. and Guo, J., 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.

17)  Xu, H. and Li, P., 2010, Urban land cover classification from very high resolution imagery using spectral and invariant moment shape information, Canadian Journal of Remote Sensing, 36(3), 248-260 .

18)  Li, P. and Xu, H., 2010, Land Cover Change Detection Using One-Class Support Vector Machine, Photogrammetric Engineering and Remote Sensing, 76(3), 255-263.

19)  Li, P., Yu, H. and Cheng, T., 2009, Lithologic mapping using ASTER imagery and multivariate texture. Canadian Journal of Remote Sensing, V. 35, Suppl. 1 (Supplement S1), S117-S125.

20)  Li, P., Cheng, T. and Guo, J., 2009, Multivariate image texture by multivariate variogram for multispectral image classification. Photogrammetric Engineering and Remote Sensing, 75(2), 147-158.

21)  Li, P. and Xiao, X., 2007, Multispectral image segmentation by a multichannel watershed-based approach. International Journal of Remote Sensing, 28(19), 4429-4452.

22)  Li, P. and Huang, Y., 2005, Land cover classification of remotely sensed image with hierarchical iterative method. Progress in Natural Science. 15(5), 442-447.

23)  Li, P. and Xiao, X., 2004, An unsupervised marker image generation method for watershed segmentation of multispectral imagery. Geosciences Journal, 8(3), 325-331.

24)  Li, P. and Moon, W.M., 2004, Land cover classification using MODIS/ASTER airborne simulator (MASTER) data and NDVI: a case study of the Kochang area, Korea. Canadian Journal of Remote Sensing，30（2），123-136.

25)  Li, P., Zhou, Z., Li, J., Zhang, C., He, W. and Suh, M., 2003, Structural framework and its evolution of the Kalpin thrust belt, Tarim Basin, northwest China, from Landsat TM data. International Journal of Remote Sensing, 24(18), 3535-3546.

26)  Li, P., Li, Z. and Moon, W. M., 2001, Lithological discrimination of Altun area in northwest China using Landsat TM data and geostatistical textural information. Geosciences Journal, 5(4), 293-300.