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Context-based mapping of damaged buildings from high-resolution optical satellite images / T. Vu in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 31 n° 13 (July /2010) . - pp 3411 - 3425 Titre : Context-based mapping of damaged buildings from high-resolution optical satellite images Type de document : Article/Communication Auteurs : T. Vu, Auteur ; Yifang Ban, Auteur Année de publication : 2010 Article en page(s) : pp 3411 - 3425 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] automatisation [Termes IGN] bâtiment [Termes IGN] cartographie des risques [Termes IGN] dommage matériel [Termes IGN] estimation statistique [Termes IGN] image à très haute résolution [Termes IGN] image optique [Termes IGN] image Quickbird [Termes IGN] optimisation (mathématiques) [Termes IGN] séisme [Termes IGN] Setchouan (Chine) Résumé : (Auteur) In the early stages of post-disaster response, a quick and reliable damage assessment map is essential. As time is a critical factor, automated damage mapping from remotely sensed images is the expected solution to drastically reduce data acquisition and computation time. Recently, high-resolution satellite images, such as QuickBird data, have been in high demand by damage assessment analysts and disaster management practitioners. However, the existing automated mapping approaches hardly accommodate such high-resolution data. This research aims at developing a new context-based automated approach for earthquake damage mapping from high-resolution satellite images. Relevant contextual information (including structure, shape, size, edge texture, spatial relations) describing the damage situation is formulated and up-scaled on a morphological scale-space. Speed optimization is achieved by parallel processing implementation. The developed approach was tested with two QuickBird images acquired on 26 June 2005 and 3 June 2008 over YingXiu town, Sichuan, China, which suffered the devastating 12 May 2008 earthquake. In comparison to the reference, the developed mapping approach could achieve over 80% accuracy for computation of the damage ratio. Future research is planned to test the approach on various disaster cases for both optical and radar images using a grid-computing platform towards a cost-effective damage mapping solution. Numéro de notice : A2010-348 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161003727697 En ligne : https://doi.org/10.1080/01431161003727697 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30542 [article]

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