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http://dx.doi.org/10.5467/JKESS.2013.34.1.69

Compression of Terrain Data using Integer Wavelet Transform (IWT) and Application on Gravity Terrain Correction  

Chung, Hojoon (Human and Earth)
Lee, Heuisoon (Human and Earth)
Oh, Seokhoon (Department of Energy and Resources Engineering, Kangwon National University)
Park, Gyesoon (Mineral Resources Research Division, Korea Institute of Geoscience and Mineral Resources)
Rim, Hyoungrea (Mineral Resources Research Division, Korea Institute of Geoscience and Mineral Resources)
Publication Information
Journal of the Korean earth science society / v.34, no.1, 2013 , pp. 69-80 More about this Journal
Abstract
Terrain data is one of important basic data in various areas of Earth science. Recently, finer DEM data is available, which necessary to develop a method that deals with such huge data efficiently. This study was conducted on the lossless compression of DEM data and efficient partial reconstruction of terrain information from compressed data. In this study, we compressed the wavelet coefficients of DEM, obtained from integer wavelet transform (IWT) by entropy encoding. CDF (Cohen-Daubechies-Feauveau) 3.5 wavelet showed the best compression ratio of about 45.4% and the optimum decomposition level was 3. Results also showed that a small region of terrain could be restored from the inverse wavelet transform with a part of the wavelet coefficients that are related to such region instead of whole reconstruction. We discussed the potential applications of the terrain data compression for precise gravity terrain correction.
Keywords
terrain data; wavelet transform; digital elevation model; compression;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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