Paper
3 November 2010 Implementing a global DEM database on the sphere based on spherical wavelets
Di Zhao, Xuesheng Zhao, Shigang Shan, Liangjun Yao
Author Affiliations +
Abstract
Wavelets have been proven to be an exceedingly powerful and highly efficient tool for fast computational algorithms in the fields of image data analysis and compression. Traditionally, the classical constructed wavelets are often employed to Euclidean infinite domains (such as the real line R and plane R2). In this paper, a spherical wavelet constructed for discrete DEM data based on the sphere is approached. Firstly, the discrete biorthogonal spherical wavelet with custom properties is constructed with the lifting scheme based on wavelet toolbox in Matlab. Then, the decomposition and reconstruction algorithms are proposed for efficient computation and the related wavelet coefficients are obtained. Finally, different precise images are displayed and analyzed at the different percentage of wavelet coefficients. The efficiency of this spherical wavelet algorithm is tested by using the GTOPO30 DEM data and the results show that at the same precision, the spherical wavelet algorithm consumes smaller storage volume. The results are good and acceptable.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Di Zhao, Xuesheng Zhao, Shigang Shan, and Liangjun Yao "Implementing a global DEM database on the sphere based on spherical wavelets", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401N (3 November 2010); https://doi.org/10.1117/12.872952
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KEYWORDS
Wavelets

Spherical lenses

Optical spheres

Image compression

Reconstruction algorithms

Data storage

MATLAB

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