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Auteur B. Cetinkaya |
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Automatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs / M. Turker in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
[article]
Titre : Automatic detection of earthquake-damaged buildings using DEMs created from pre- and post-earthquake stereo aerial photographs Type de document : Article/Communication Auteurs : M. Turker, Auteur ; B. Cetinkaya, Auteur Année de publication : 2005 Article en page(s) : pp 823 - 832 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] bati
[Termes IGN] couple stéréoscopique
[Termes IGN] détection automatique
[Termes IGN] dommage matériel
[Termes IGN] hauteur du bâti
[Termes IGN] image numérisée
[Termes IGN] modèle numérique de terrain
[Termes IGN] photographie aérienne
[Termes IGN] séisme
[Termes IGN] seuillage d'image
[Termes IGN] TurquieRésumé : (Auteur) This study presents detection of the collapsed buildings caused by earthquakes using digital elevation models (DEMs) created from pre- and post-earthquake stereo aerial photographs. It is based on the idea that changes in the heights of collapsed buildings can be detected. The study was conducted using aerial photographs taken before (1994) and after (1999) the Izmit earthquake in Turkey. DEMs were created automatically from both pre- and post-earthquake aerial photographs at 5m spatial resolution. The DEMs created from the two epochs were then differenced and the difference DEM obtained was analysed building by building to detect those buildings whose height difference between pre- and post-earthquake exceeded a specified threshold level. The producer's accuracy for detecting the collapsed buildings was found to be 84%. The results show that the difference DEM of the pre- and post-earthquake aerial images can reveal successfully the collapsed buildings caused by the earthquake. It was found that determining an optimum threshold level between change and no change pixels of the difference DEM is important. Numéro de notice : A2005-056 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331316810 En ligne : https://doi.org/10.1080/01431160512331316810 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27194
in International Journal of Remote Sensing IJRS > vol 26 n° 4 (February 2005) . - pp 823 - 832[article]Exemplaires(1)
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