This document summarizes research on using spectral decomposition methods to recognize scene classes in high resolution synthetic aperture radar (SAR) and interferometric SAR (InSAR) data. Spectral features and components are extracted from the SAR signal data using estimation algorithms and used as descriptors to classify urban scenes into classes like tall buildings, green areas, and industrial sites. Experimental results on TerraSAR-X data of Bucharest, Romania show over 80% accuracy in recognizing major scene classes when using the spectral descriptors for classification.