Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 77 n° 10Mention de date : October 2011 Paru le : 01/10/2011 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierDamage assessment of 2010 Haïti earthquake with post-earthquake satellite image by support vector selection and adaptation / Gülsen Taskin Kaya in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 10 (October 2011)
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Titre : Damage assessment of 2010 Haïti earthquake with post-earthquake satellite image by support vector selection and adaptation Type de document : Article/Communication Auteurs : Gülsen Taskin Kaya, Auteur ; Nebiye Musaoglu, Auteur ; Okan Ersoy, Auteur Année de publication : 2011 Article en page(s) : pp 1025 - 1035 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] carte thématique
[Termes IGN] catastrophe naturelle
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] dommage matériel
[Termes IGN] Haïti
[Termes IGN] image multitemporelle
[Termes IGN] image satellite
[Termes IGN] séismeRésumé : (Auteur) Remote sensing technology is a powerful tool to extract regions damaged after an earthquake. There are two methodological approaches in detection of earthquake damage: mono-temporal and multi-temporal. Especially for providing effective emergency management, the mono-temporal approach is generally preferred in extraction of earthquake damage as it does not depend on availability of pre-earthquake imagery. For this purpose, a novel method called support vector selection and adaptation (svsa) has been introduced to detect the damaged regions from a post-earthquake image. In this study, the SVSA method was applied to the region where the Haiti Presidential Palace and Cathedral is located, and the damaged regions were identified. The performance of the SVSA method in identification of the damaged regions was evaluated by comparing the thematic maps obtained by classifying pre- and post-earthquake images. Additionally, the damage patterns for the city of Port-au-Prince were estimated by the SVSA. Numéro de notice : A2011-433 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.10.1025 En ligne : https://doi.org/10.14358/PERS.77.10.1025 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31211
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 10 (October 2011) . - pp 1025 - 1035[article]