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An unsupervised classification approach for polarimetric SAR data based on the Chernoff distance for complex Wishart distribution / Mohammed Dabboor in IEEE Transactions on geoscience and remote sensing, vol 51 n° 7 Tome 2 (July 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 7 Tome 2 (July 2013) . - pp 4200 - 4213 Titre : An unsupervised classification approach for polarimetric SAR data based on the Chernoff distance for complex Wishart distribution Type de document : Article/Communication Auteurs : Mohammed Dabboor, Auteur ; Michael Collins, Auteur ; Vassilia Karathanassi, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 4200 - 4213 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] image radar moirée [Termes IGN] loi de Wishart [Termes IGN] polarimétrie radar Résumé : (Auteur) A new unsupervised classification approach for polarimetric synthetic aperture radar (POLSAR) data is proposed in this paper. The Wishart-Chernoff distance is calculated and used in an agglomerative hierarchical clustering approach. Initial segmentation of POLSAR data into clusters is obtained based on the total backscattering power (SPAN) combined with the entropy, alpha angle, and anisotropy. The complex Wishart clustering is performed to optimize the initialization. Optimized clusters with minimum Wishart-Chernoff distance are merged hierarchically into an appropriate number of classes. The appropriate number of classes is estimated based on the data log-likelihood algorithm. Classification results show that the use of Wishart-Chernoff distance is superior to that of the Wishart test statistic distance. The effectiveness of the proposed Wishart-Chernoff distance is demonstrated using Advanced Land Observing Satellite POLSAR data. Numéro de notice : A2013-377 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2227755 En ligne : https://doi.org/10.1109/TGRS.2012.2227755 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32515 [article]

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