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Proceedings Paper

Cluster analysis approach for DEM change detection based on aerial images
Author(s): Mi Wang; Tiantian Feng; Jun Pan
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Paper Abstract

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.

Paper Details

Date Published: 26 July 2007
PDF: 8 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521N (26 July 2007);
Show Author Affiliations
Mi Wang, Wuhan Univ. (China)
Tiantian Feng, Wuhan Univ. (China)
Jun Pan, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)

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