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A comprehensive review of earthquake-induced building damage detection with remote sensing techniques / Laigen Dong in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 84 (October 2013) . - pp 85 - 99 Titre : A comprehensive review of earthquake-induced building damage detection with remote sensing techniques Type de document : Article/Communication Auteurs : Laigen Dong, Auteur ; Jie Shan, Auteur Année de publication : 2013 Article en page(s) : pp 85 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] bâtiment [Termes IGN] détection de changement [Termes IGN] dommage matériel [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] données multitemporelles [Termes IGN] image optique [Termes IGN] image radar moirée [Termes IGN] séisme [Termes IGN] télédétection aérienne [Termes IGN] télédétection spatiale Résumé : (Auteur) Earthquakes are among the most catastrophic natural disasters to affect mankind. One of the critical problems after an earthquake is building damage assessment. The area, amount, rate, and type of the damage are essential information for rescue, humanitarian and reconstruction operations in the disaster area. Remote sensing techniques play an important role in obtaining building damage information because of their non-contact, low cost, wide field of view, and fast response capacities. Now that more and diverse types of remote sensing data become available, various methods are designed and reported for building damage assessment. This paper provides a comprehensive review of these methods in two categories: multi-temporal techniques that evaluate the changes between the pre- and post-event data and mono-temporal techniques that interpret only the post-event data. Both categories of methods are discussed and evaluated in detail in terms of the type of remote sensing data utilized, including optical, LiDAR and SAR data. Performances of the methods and future efforts are drawn from this extensive evaluation. Numéro de notice : A2013-518 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.06.011 Date de publication en ligne : 07/08/2013 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.06.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32655 [article]

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