Buildings Change Detection on Quickbird Imagery

Very High Spatial Resolution images (VHRS) is a powerful tool for quick mapping, especially in the detection of change occurring after a natural disaster. In this context, the aim of this paper is to propose a methodology for detection of damaged buildings after an earthquake based on object-oriented analysis applied to a pair of Quickbird images. The experimental results show that the detection rate was approximately 0.9, for existing buildings before earthquake and approximately 0.66 for damaged buildings. These rates are obtained by using the correctness parameters as quality measure and consequently it indicate the effectiveness of the proposed methodology.