This paper, based on VLL (Vertical Line Locus), proposes a cluster analysis approach for DEM change detection. The approach takes advantage of the character of VLL and combines the previous DEM and new images to find the DEM grid points where the elevation values are changed. And the strategy of multi-level image matching is adopted to
improve the accuracy of aerial image matching, which also ensures the accuracy of change detection. Moreover, in order to get rid of the false change points and achieve stable result, a cluster analysis approach based on the density is used to analyze the candidate change points. Finally, experiments are given. The results show that the approach proposed by this paper is feasible. It can wipe off the false change areas calculated by VLL, and detect the areas where the elevation values are questionable in DEM exactly.
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