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In this paper, a novel approach for 3D building change detection is proposed using Digital Surface Model (DSM) generated from High spatial Resolution Spaceborne Stereo (HRSS) imagery. To improve the change detection performance, the difference image is denoised by the detected shadow mask and DSM hole mask. Several thresholding algorithms are compared to remove spurious change in altitude caused mainly by computation errors in the DSM generation procedure. After applying the thresholding methods, object-oriented image analysis approach is carried out by comparing the size and shape properties of the objects that are extracted from the thresholded difference image to filter small changed regions. The performance evaluation of the proposed 3D building change detection confirms the effectiveness of this approach.
Date of Conference: 10-12 Jan. 2011