Terrain change detection and updating with image pyramid

Song Xia; Deren Li

doi:10.1117/12.752733

14 November 2007 Terrain change detection and updating with image pyramid

Song Xia, Deren Li

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67903O (2007) https://doi.org/10.1117/12.752733
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Song Xia and Deren Li "Terrain change detection and updating with image pyramid", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903O (14 November 2007); https://doi.org/10.1117/12.752733

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