Spotlight TerraSAR-X Data Modelling using Spectral Space-Variant Measures, for scene Targets and Structure Indexing

Kurzfassung

This paper aims at defining an analysis model for high resolution spotlight SAR imagery, which is able to integrate the radiometric, geometric and texture properties of the SAR data, in order to facilitate large data-base queries by informational content indexing of the images. Each SAR scene is described by a number of parameters computed based on Short-Time Fourier Transform. A phase correction algorithm is applied to the spotlight images prior to feature extraction. The classification is done using a Bayesian SVM classifier. The method allowed for the recognition of more than one hundred targets and structures in the scenes.