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Urban change detection based on coherence and intensity characteristics of SAR imagery / M. Liao in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 8 (August 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 8 (August 2008) . - pp 999 - 1006 Titre : Urban change detection based on coherence and intensity characteristics of SAR imagery Type de document : Article/Communication Auteurs : M. Liao, Auteur ; L. Jiang, Auteur ; H. Lin, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 999 - 1006 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse diachronique [Termes IGN] cohérence (physique) [Termes IGN] croissance urbaine [Termes IGN] détection de changement [Termes IGN] extraction de traits caractéristiques [Termes IGN] image ERS-SAR [Termes IGN] image multitemporelle [Termes IGN] image radar moirée [Termes IGN] intensité lumineuse [Termes IGN] radargrammétrie [Termes IGN] seuillage d'image [Termes IGN] Shanghai (Chine) Résumé : (Auteur) In this paper, an unsupervised change-detection approach was proposed to detect new urban areas from multi-temporal SAR images. The novelty of the proposed approach is the joint use of coherence and intensity characteristics of SAR imagery. The approach involves two main steps: (a) the extraction of difference feature containing information on changed areas, and (b) the unsupervised two-dimensional (2D) thresholding. First, two difference features based on the concepts of long-term coherence and backscattering temporal variability are extracted from a series of multitemporal SAR images. Then, the resulting features that represent the INSAR signal temporal variability of changed areas are merged, and a 2D thresholding technique based on the maximum 2D Renyi’s entropy criterion is developed to obtain the change-detection results. The effectiveness of the proposed approach is confirmed with experimental results obtained from a set of six ERS-1/2 SLC SAR images acquired in Shanghai, China. Copyright ASPRS Numéro de notice : A2008-329 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.8.999 En ligne : https://doi.org/10.14358/PERS.74.8.999 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29322 [article]