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Intensity-driven-adaptive-neighbourhood technique for PolSAR parameters estimation / Gabriel Vasile (2005)  

Public Titre : Intensity-driven-adaptive-neighbourhood technique for PolSAR parameters estimation Type de document : Article/Communication Auteurs : Gabriel Vasile, Auteur ; Emmanuel Trouvé, Auteur ; M. Ciuc, Auteur ; et al., Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2005 Conférence : IGARSS 2005, International Geoscience And Remote Sensing Symposium 29/07/2005 Séoul Corée du Sud Proceedings IEEE Importance : 4 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] cohérence des données [Termes IGN] données polarimétriques [Termes IGN] image radar moirée [Termes IGN] polarimétrie radar Résumé : (Auteur) In this paper, a new method to estimate polarimetric coherency matrices and derive associated parameters is presented. For each pixel of the data set, an adaptive neighborhood is computed by a region growing technique driven exclusively by the intensity images. The three intensity images of the POLSAR acquisition are fused in the region growing process to ensure the stationarity hypothesis of the derived statistical population. Then, all pixels within the obtained adaptive neighborhood are, either complex averaged or estimated by the locally linear minimum mean{squared error (LLMMSE), to yield a feature preserving reliable estimate of the polarimetric coherency matrix. The target entropy{alpha{anisotropy decomposition is applied on the derived polarimetric coherency matrix. Using this decomposition, unsupervised classification for land applications by an iterative algorithm based on a complex Wishart density function is employed. The method has been tested on airborne polarimetric synthetic aperture radar images (Northumberland Strait costal area { Canadian Space Agency). Numéro de notice : 13578 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2005.1526020 Date de publication en ligne : 14/11/2005 En ligne : https://doi.org/10.1109/IGARSS.2005.1526020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64264