Urban land cover classification using polarimetric SAR interferometry

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.