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Remote sensing texture analysis using multi-parameter and multi-scale features / Y. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 4 (April 2003) . - pp 351 - 355 Titre : Remote sensing texture analysis using multi-parameter and multi-scale features Type de document : Article/Communication Auteurs : Y. Li, Auteur ; J.X. Peng, Auteur Année de publication : 2003 Article en page(s) : pp 351 - 355 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse texturale [Termes IGN] classification [Termes IGN] détail topographique [Termes IGN] données multiéchelles [Termes IGN] estimation des paramètres [Termes IGN] image SPOT [Termes IGN] mouvement brownien [Termes IGN] texture d'image Résumé : (Auteur) A new multiparameter and multiscale (MPMS) feature set derived from fractional Brownian motion (fBm) is presented in this paper. Generally, natural textures can be modeled as fBm processes. Because fBm is characterized by a single Hurst parameter, it is not flexible enough to be used as the texture feature in classification. Therefore, an extended model is proposed, where the Hurst parameter H is no longer constant for all the scales. The shape and location of the estimation curve, when presented graphically, are fixed for a particular texture. We use the slopes of sections of the estimation curve to estimate the multiscale Hurst parameters. Meanwhile, the unit displacement incremental power (UDIP) a' is also taken as the parameter of the process. It determines the vertical placement of the curve in the graph. Experiments prove that the MPMS feature set has advantages over some other features in the classification of SPOT images. Numéro de notice : A2003-110 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.4.351 En ligne : https://doi.org/10.14358/PERS.69.4.351 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22406 [article]