Damage assessment on buildings using very high resolution multimodal images and GIS - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année :

Damage assessment on buildings using very high resolution multimodal images and GIS

(1) , (1) , (2)
1
2
Renaud Binet
  • Fonction : Auteur
Lucien Wald

Résumé

Satellite images are more and more used to prevent natural disasters and mitigate their impact on populations. Their analysis is usually manually conducted by operators. Automatic processing of very high resolution (VHR) images is critical when the images to analyse are acquired with very different acquisition angles; however, this situation is frequent in an operational scope of a natural disaster. We propose a method to assess damage on buildings using a pair of VHR images whose dates of acquisition encompass the disaster, and a geographical information system that contains the buildings footprints. It takes into account the acquisition parameters of the images. We assess its robustness as a function of the difference between the acquisition angles of the images. For this purpose, we adopt the framework of an operational scope and use six different VHR images that have been acquired successively before and during the period of interest. We show that the rate of false-alarms increases with this difference of acquisition angles. However, even in extreme conditions, damaged buildings are well detected. Our methodology leads to a global performance of the damage detection from 69 % with a difference angle of 80o, to 90 % for a difference angle around 24o.
Fichier principal
Vignette du fichier
HazardWorkshop.pdf (1.44 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00464860 , version 1 (18-03-2010)

Identifiants

  • HAL Id : hal-00464860 , version 1

Citer

Anne-Lise Chesnel, Renaud Binet, Lucien Wald. Damage assessment on buildings using very high resolution multimodal images and GIS. 5th International Workshop on Remote Sensing for Disaster Management Applications, Sep 2007, Washington, DC, United States. ⟨hal-00464860⟩
265 Consultations
240 Téléchargements

Partager

Gmail Facebook Twitter LinkedIn More