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    • 3. 发明授权
    • Lossless compression algorithms for spatial data
    • 空间数据的无损压缩算法
    • US07668386B2
    • 2010-02-23
    • US11090680
    • 2005-03-25
    • Bryan K Beatty
    • Bryan K Beatty
    • G06K9/48
    • G06T9/00
    • The present invention is related to routines for the processing of quantized vector data into one or more arrays of integers whose values are closer to zero than the integers in the quantized vector data. The arrays are input to a compression engine resulting in compressed bytes of data that may be transferred to a computing device for the decompression of the data. The quantized vector data can include vertices expressed as a pair of integer values that may represent geometric, spatial elements, such as points, interconnected lines (polylines), and polygons. These geometric objects may be representative of information on a map. The compressed bytes may be grouped according to grids, wherein each grid represents a distinct geographic area of a map, so that a consumer can store and decompress only the portion of the map data which is of interest.
    • 本发明涉及用于将量化的向量数据处理成一个或多个整数数组的例程,其数值比量化向量数据中的整数更接近零。 阵列被输入到压缩引擎,导致压缩的数据字节,其可以传送到计算设备以解压缩数据。 量化的矢量数据可以包括表示为可以表示几何空间元素(例如点,互连线(折线))和多边形的一对整数值的顶点。 这些几何对象可以代表地图上的信息。 压缩字节可以根据网格分组,其中每个网格表示地图的不同的地理区域,使得消费者只能存储和解压缩感兴趣的地图数据的部分。