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The Research on the Compression Algorithms for Vector Data

机译:矢量数据压缩算法研究

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Vector data compression system carries important significance in studies such as geography environment simulation, map database establishment and GIS. But there are lots of redundant points in the digital topographic map. In order to reduce storage space and improve the speed, vector data must be compressed. The compression algorithms of the line element are researched in the paper. The line element is tracked by the digital software. The four algorithms are researched such as choosing interval points, limiting vertical distance, limiting angle, Douglas-Peucker. It is better that the number of nodes and the error are less in line elements by the compression algorithms. The result is that the Douglas - Peucker method is best, followed by the vertical distance method, the offset angle method and choosing interval points method.
机译:矢量数据压缩系统在地理环境模拟,地图数据库建立和GIS等研究中具有重要意义。但是数字地形图中有很多冗余点。为了减少存储空间并提高速度,必须压缩矢量数据。研究了线元的压缩算法。线元素由数字软件跟踪。研究了四种算法,如选择区间点,极限垂直距离,极限角度,道格拉斯-皮克(Douglas-Peucker)。压缩算法最好使线元素中的节点数和误差较小。结果表明,Douglas-Peucker方法是最好的,其次是垂直距离方法,偏移角方法和选择间隔点方法。

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