Data Compression of DEM with Joint Singular Value Decomposition

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.