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COMPARISON OF IMPACT OF JPEG 2000 LOSSY COMPRESION WITH ECW LOSSY COMPRESSION TO DIGITAL ELEVATION MODEL

机译:JPEG 2000 LOSSY压缩与ECW LOSSY压缩对数字高程模型的影响比较

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摘要

When dealing with a large set of geodata it is always necessary to use compression algorithms to lower their size. There are several algorithms that can be used for aerial (satellite) photos. The algorithms with a best compression ratio are nowadays based on a wavelet technique. Although digital elevation models (DEM) in a GRID form are a bit different to aerial (satellite) photos the wavelet algorithms can be used for a compression of DEM. The compression can be loss or loss less. The paper describes a comparison of two formats based on wavelet algorithm. The first one is well known as JPEG 2000 and the second one is well known as ECW (Enhanced Compression Wavelet). The goal of this research was to determine how the loss compression (high ratio) impacts quality of DEM. OpenJPEG library in GDAL was used to produce JPEG 2000 compressed file and ERDAS ECW SDK was used to produce ECW compressed file. GRASS GIS was used to compare compressed files and the impact of the compression.
机译:处理大量地理数据时,始终必须使用压缩算法来减小其大小。有几种算法可用于航空(卫星)照片。如今,基于小波技术,具有最佳压缩率的算法。尽管GRID格式的数字高程模型(DEM)与航空(卫星)照片有些不同,但小波算法可用于压缩DEM。压缩可以是损耗,也可以是损耗少。本文介绍了两种基于小波算法的格式的比较。第一个众所周知的是JPEG 2000,第二个众所周知的是ECW(增强压缩小波)。这项研究的目的是确定损耗压缩(高比率)如何影响DEM的质量。 GDAL中的OpenJPEG库用于生成JPEG 2000压缩文件,而ERDAS ECW SDK用于生成ECW压缩文件。 GRASS GIS用于比较压缩文件和压缩的影响。

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