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Reducing edge effects in the classification of high resolution imagery / Guiyun Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 4 (April 2008) . - pp 431 - 441 Titre : Reducing edge effects in the classification of high resolution imagery Type de document : Article/Communication Auteurs : Guiyun Zhou, Auteur ; Nina S.-N. Lam, Auteur Année de publication : 2008 Article en page(s) : pp 431 - 441 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse texturale [Termes IGN] contour [Termes IGN] fenêtre (informatique) [Termes IGN] image à haute résolution [Termes IGN] polygone [Termes IGN] précision géométrique (imagerie) Résumé : (Auteur) Edge effects have been a problem in image classification especially when scale-based textural methods were included in the classification process. This paper proposes a new approach to reducing edge effects. The essence of the new approach is that all pixels in a moving window make use of the textural information instead of only the center pixel as in the traditional moving window method. The performance of the new approach was tested in three classification scenarios. The results show that the new approach generally produced higher accuracy with larger window size and was much less affected by the edge issues than the traditional moving window method. The new approach yields satisfactory results as long as the window size is smaller than the land-use polygons and the class boundaries are not too complex. Copyright ASPRS Numéro de notice : A2008-122 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.4.431 En ligne : https://doi.org/10.14358/PERS.74.4.431 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29117 [article]