Urban land cover classification using polarimetric SAR interferometry

Xinwu Li; Eric Pottier; Huadong Guo; Laurent Ferro-Famil

doi:10.1117/12.873222

3 November 2010 Urban land cover classification using polarimetric SAR interferometry

Xinwu Li, Eric Pottier, Huadong Guo, Laurent Ferro-Famil

Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 78410R (2010) https://doi.org/10.1117/12.873222
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

At this paper, from high resolution airborne E-SAR PolinSAR data and its statistical characteristics, Urban area land cover unsupervised classification method using polarimetric, coherence and interferometric phase differentials was proposed, and what is the role of interferometric phase differential for identification and classification of the target with vertical structure was investigated; and the potential and validation of PolinSAR data for urban area land cover identification and classification was demonstrated. The preliminary result indicates that the good classification result has been obtained, and the inclusion of interferometric phase differential significantly improved the building or man-made target identification and classification.

Citation Download Citation

Xinwu Li, Eric Pottier, Huadong Guo, and Laurent Ferro-Famil "Urban land cover classification using polarimetric SAR interferometry", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78410R (3 November 2010); https://doi.org/10.1117/12.873222

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