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Scale and texture in digital image classification / J.S. Ferro in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 1 (January 2002) . - pp 51 - 63 Titre : Scale and texture in digital image classification Type de document : Article/Communication Auteurs : J.S. Ferro, Auteur ; T.A. Warner, Auteur Année de publication : 2002 Article en page(s) : pp 51 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] accentuation de contours [Termes IGN] analyse d'image numérique [Termes IGN] classification dirigée [Termes IGN] classification multidimensionnelle [Termes IGN] classification non dirigée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] incertitude des données [Termes IGN] qualité d'image [Termes IGN] superposition d'images Résumé : (Auteur) Classification errors using texture are most likely associated with class edges, but investigators often avoid edges when evaluating textures for classification. The large window needed to produce a stable texture measure produce large edge effects. Small windows minimize edge effects, but often do not provide stable texture measures. Simulated data experiments showed that class separability increased when texture was used in addition to spectral information. Texture separability improved with larger windows. This improvement was over estimated when pixels were chosen away from class edges. Airborne Data Acquisition and Registration (ADAR) data showed that separability of class interiors improved with the addition of texture, but that, for the whole class, separability fell. Maximum-likelihood classification of the ADAR data demonstrated the effect of edges and multiple scales in reducing the accuracy of classification incorporating texture. Numéro de notice : A2002-010 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/january/2002_jan_51-63 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21927 [article]