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Reducing mis-registration and shadow effects on change detection in wetlands / Jinxia Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 4 (April 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 4 (April 2011) . - pp 325 - 334 Titre : Reducing mis-registration and shadow effects on change detection in wetlands Type de document : Article/Communication Auteurs : Jinxia Zhu, Auteur ; Q. Guo, Auteur ; D. Li, Auteur ; T. Harmon, Auteur Année de publication : 2011 Article en page(s) : pp 325 - 334 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] axe de prise de vue [Termes IGN] classification orientée objet [Termes IGN] correction des ombres [Termes IGN] détection de changement [Termes IGN] marais [Termes IGN] ombre [Termes IGN] seuillage d'image [Termes IGN] superposition d'images Résumé : (Auteur) With respect to the inevitable mis-registration and shadow effects on change detection analysis, we propose object-based post-classification of the Multivariate Alteration Detection components (ob-mad). Very high spatial resolution images of drained, managed wetland ponds were used to compare the proposed OB-MAD method with three commonly used classification methods in terms of minimizing the influence of mis-registration and shadow on the change detection analysis: (a) the traditional mad method with thresholds (Threshold-MAD), (b) a pixel-based post-classification of mad components with decision tree analysis (PB-MAD), and (c) a traditional object-based post-classification method (OB-traditional). The OB-MAD method, which utilizes shape and textural information of objects derived from MAD components, produced the highest accuracy with respect to wetland change detection and successfully minimized the influence from the geometric distortion and shadow on the changed area. Numéro de notice : A2011-127 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.4.325 En ligne : https://doi.org/10.14358/PERS.77.4.325 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30906 [article]