Journal of the Japan society of photogrammetry and remote sensing
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
Data Compression of DEM with Joint Singular Value Decomposition
Toru HIRAOKAHirofumi NONAKATatumi KAMENO
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2012 Volume 51 Issue 4 Pages 232-236

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Abstract
Currently, DEM (Digital Elevation Model) of high density and wide range has been able to be created by spread of airborne laser scanner data. Because the DEM has a large amount of data, real-time communication becomes impossible. In order to reduce the amount of data of the DEM, we propose a method to compress the DEM with joint singular value decomposition. The proposed method is a lossy compression, and assume that a terrain has similar relief. We prove the effectiveness of the proposed method through the experiments using the DEM of 5m mesh.
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© 2012 Japan Society of Photogrammetry and Remote Sensing
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