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Proceedings Paper

Terrain change detection and updating with image pyramid
Author(s): Song Xia; Deren Li
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Paper Abstract

In the paper, image pyramid is employed to detect terrain changes and update terrain data step by step. Low-resolution new image and old DEM are used to quickly acquire elementary detection results by VLL matching at first. The result may contain many pseudo changes. And then it switches to high-resolution new image to improve and verify the elementary results with stricter matching and detecting conditions such as more exact template size or thresholds. All changed parts are detected and updated to obtain up-to-date terrain data. Experimental result shows that terrain change detection and updating based on VLL matching can achieve updating accuracy with 84.22% and RMSE of 1.6386m. However, terrain change detection and updating with image pyramid can achieve updating accuracy with 84.44% and RMSE of 1.6413m, and it obviously improves the accuracy. It can make conclusions that terrain change detection and updating based on VLL matching is a highly automatic and practical approach to detect terrain changes and update DEM simultaneously. Terrain change detection and updating with image pyramid can efficiently improve the results of updating and make the approach more applicable.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903O (14 November 2007); doi: 10.1117/12.752733
Show Author Affiliations
Song Xia, Zhongnan Univ. of Economics and Law (China)
Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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