Object oriented assessment of damage due to natural disaster using very high resolution images

Anne-Lise Chesnel (1) , Renaud Binet (1) , Lucien Wald (2)

1 DAM/DIF - DAM Île-de-France
2 CEP/Sophia

A building damage assessment method applied to the case of the earthquake of Bam is proposed in this paper. It uses two very high resolution images and focuses on the footprints of the buildings. The need of an accurate registration of the buildings is demonstrated; a registration method that improved the damage assessment is proposed. It allows a classification performance of the buildings among four damage grades up to 78%. The impact of a lower accuracy of the buildings roofs segmentation is evaluated; we show that it mainly leads to a decrease of the capacity to identify the partial damage on buildings.

Mots clés: disasters; earthquakes; geophysical signal processing; geophysical techniques; image classification; image registration; image resolution; image segmentation; seismology

Domaines: Sciences de l'environnement; Sciences de l'Homme et Société; Géographie; Sciences de l'ingénieur [physics]; Traitement du signal et de l'image [eess.SP]; Informatique [cs]; Traitement du signal et de l'image [eess.SP]

Anne-Lise Chesnel, Renaud Binet, Lucien Wald. Object oriented assessment of damage due to natural disaster using very high resolution images. 2007 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2007), Jul 2007, Barcelona, Spain. pp.3736-3739, ⟨10.1109/IGARSS.2007.4423655⟩. ⟨hal-00464796⟩