Cluster analysis approach for DEM change detection based on aerial images

Mi Wang; Tiantian Feng; Jun Pan

doi:10.1117/12.760695

26 July 2007 Cluster analysis approach for DEM change detection based on aerial images

Mi Wang, Tiantian Feng, Jun Pan

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67521N (2007) https://doi.org/10.1117/12.760695
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Mi Wang, Tiantian Feng, and Jun Pan "Cluster analysis approach for DEM change detection based on aerial images", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521N (26 July 2007); https://doi.org/10.1117/12.760695

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KEYWORDS

Image processing

Binary data

Buildings

Image analysis

Shape analysis

Error analysis

Photogrammetry

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