文章基本信息

标题：Efficient compression of vector data map based on a clustering model
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作者：Bisheng Yang ; Qingquan Li
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2009
卷号：12
期号：1
页码：13-17
DOI：10.1007/s11806-009-0181-5
出版社：Taylor and Francis Ltd
摘要：This paper proposes a new method for the compression of vector data map. Three key steps are encompassed in the proposed method, namely, the simplification of vector data map via the elimination of vertices, the compression of removed vertices based on a clustering model, and the decoding of the compressed vector data map. The proposed compression method was implemented and applied to compress vector data map to investigate its performance in terms of the compression ratio and 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.
关键词：spatial data decoding; spatial data compression; error evaluation