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Auteur John J. Soraghan |
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Invariant rules for multipolarization SAR change detection / Vincenzo Carotenuto in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)
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Titre : Invariant rules for multipolarization SAR change detection Type de document : Article/Communication Auteurs : Vincenzo Carotenuto, Auteur ; Antonio de Maio, Auteur ; Carmine Clemente, Auteur ; John J. Soraghan, Auteur Année de publication : 2015 Article en page(s) : pp 3294 - 3311 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection de changement
[Termes IGN] image radar moirée
[Termes IGN] invariant
[Termes IGN] polarisationRésumé : (auteur) This paper deals with coherent (in the sense that both amplitudes and relative phases of the polarimetric returns are used to construct the decision statistic) multipolarization synthetic aperture radar (SAR) change detection assuming the availability of reference and test images collected from N multiple polarimetric channels. At the design stage, the change detection problem is formulated as a binary hypothesis testing problem, and the principle of invariance is used to come up with decision rules sharing the constant false alarm rate property. The maximal invariant statistic and the maximal invariant in the parameter space are obtained. Hence, the optimum invariant test is devised proving that a uniformly most powerful invariant detector does not exist. Based on this, the class of suboptimum invariant receivers, which also includes the generalized likelihood ratio test, is considered. At the analysis stage, the performance of some tests, belonging to the aforementioned class, is assessed and compared with the optimum clairvoyant invariant detector. Finally, detection maps on real high-resolution SAR data are computed showing the effectiveness of the considered invariant decision structures. Numéro de notice : A2015-276 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2372900 En ligne : https://doi.org/10.1109/TGRS.2014.2372900 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76389
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 6 (June 2015) . - pp 3294 - 3311[article]Exemplaires(1)
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