Mining Very High Resolution Complex-valued SAR images using The Fractional Fourier Transform

Konferenz: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
23.04.2012 - 26.04.2012 in Nuremberg, Germany

Tagungsband: EUSAR 2012

Seiten: 4Sprache: EnglischTyp: PDF

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Singh, Jagmal; Datcu, Mihai (German Aerospace Center (DLR) Remote Sensing Technology Institute (IMF), 82234 Oberpfaffenhofen, Germany)

In this article, we present a new spectral descriptor for complex-valued SAR images for information mining in a large repository of images. This descriptor is based on the fractional Fourier transform (FrFT) computed at different transform order for an image patch. FrFT can be considered as a decomposition of signals in terms of chirps. The method is demonstrated for TerraSAR-X High Resolution Spotlight SLC images. Performance evaluation is carried out by comparative study of proposed method with descriptors obtained from Grey-Level Co-occurrence Matrix (GLCM) of the patch. With the presented results, we emphasize the use of complex-valued SAR images for target characterization.