基于簇模型的矢量地图数据的高效压缩方法
Efficient Compression of Vector Data Map Based on Clustering Model
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摘要: 提出了一种适用于矢量地图的高效压缩方法,该方法通过建立坐标增量的簇模型对矢量地图进行压缩,从而降低其存储空间。实验结果表明,本文方法能够取得较高的压缩比,保持压缩结果几何形状的相似性,而且具有较大的灵活性,能够根据不同的需求生成不同压缩比的矢量地图。Abstract: This paper proposes a method for the compression of vector data map basedon a clustering model.The proposed compression method was implemented and applied to compress vector data map to investigate its performance in terms of the compression ratio,distortions of geometric shapes.The results show that the proposed method provides a feasible and efficient solution for the compression of vector data map and is able to achieve a promising ratio of compression and maintain the main shape characteristics of the spatial objects within the compressed vector data map.
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