Affiliation:
1. Capital Normal University
Abstract
Digital elevation model, the core data for 3-dimensinal visualization and spatial analysis, plays a key role in geosciences and GIS, and wavelet transform is an important tool for data compression. According to the characteristics of DEM data and wavelet transform, we proposed an approach to diminish boundary distortion in compressing grid DEM data with discrete wavelet transform, so that the compression performances are evidently improved. The experimental results indicate that not only higher compression ratios but also reconstructed DEM data with high accuracy are achieved by using the proposed approach.
Publisher
Trans Tech Publications, Ltd.
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1 articles.
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