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SAR image categorization with log cumulants of the fractional Fourier transform coefficients / Jagmal Singh in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 12 (December 2013) . - pp 5273 - 5282 Titre : SAR image categorization with log cumulants of the fractional Fourier transform coefficients Type de document : Article/Communication Auteurs : Jagmal Singh, Auteur ; Mihai Dactu, Auteur Année de publication : 2013 Article en page(s) : pp 5273 - 5282 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] fractionnement [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] image TanDEM-X [Termes descripteurs IGN] image TerraSAR-X [Termes descripteurs IGN] transformation de Fourier Résumé : (Auteur) With the advent of high-resolution (HR) synthetic aperture radar (SAR) images from satellites like TerraSAR-X and TanDEM-X, interest is now on patch-oriented image categorization in contrast to the pixel-based classification in low-resolution SAR images. SAR image categorization requires the generation of a compact feature descriptor that accurately defines the content of the image patch under consideration. As phase information plays a critical role in SAR images, this paper proposes the use of a chirplet-derived transform, i.e., the fractional Fourier transform (FrFT), for generating a compact feature descriptor for single-look complex (SLC) SAR images. Representing a SAR signal in rotated joint time-frequency planes via the FrFT allows discovering the underlying backscattering phenomenon of the objects on the ground. SAR image projections on different planes of the joint time-frequency space using the FrFT provide a simple statistical response that is easier to analyze. The proposed method has been compared with a multiscale approach, i.e., Gabor filter banks, a second-order-statistics-based method (as gray-level co-occurrence matrices), and a spectral descriptor method. We demonstrate the suitability of the FrFT-based method for image categorization on the basis of backscattering behavior, whereas the Gabor-filter-bank-based method is found mainly suitable for images with a strong texture. This paper demonstrates enhancement in the separability for most of the considered categories when using logarithmic cumulants instead of linear moments for both the FrFT-based and Gabor-filter-bank-based methods. The experimental database consists of 2000 image patches (of size 200 200 pixels) extracted from SLC HR TerraSAR-X scenes. Numéro de notice : A2013-697 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2230892 En ligne : https://doi.org/10.1109/TGRS.2012.2230892 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32833 [article]

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