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点类几何数据无损压缩算法的研究

The Questionnaire Inquired system's Exploration of the Mid-semester Teaching Quality
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摘要 在对矢量图数据的存储特性进行深入研究的基础上,提出了综合运用通用无损数据压缩算法和几何压缩算法的两步压缩策略。根据矢量图数据中各几何图形要素的不同存储特点,特别是根据点类文件的特点,研究实现了有效的点类几何数据无损压缩算法。 Based on synthetically analysis of development status on the compression algorithm of the vector data and the universal lossless data,elaborates the principle and methods of lossless data compression comprehensively,analyses their advanrage and disadvantage.
作者 段然 赵荣 DUAN Ran,ZHAO Rong(Hubei University Computer Science,Xiaogan 432000,China)
出处 《电脑知识与技术》 2010年第8期6211-6212,共2页 Computer Knowledge and Technology
关键词 无损压缩 压缩算法 几何数据 lossless compression compression algorithm geometry compression
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  • 1黄培之.具有预测功能的曲线矢量数据压缩方法[J].测绘学报,1995,24(4):316-320. 被引量:49
  • 21,Date C J. An Introduction to Database, Mc-Graw Hall, 1997, 1, 2.
  • 32,Kang S B. Object-relational data modeling for GIS. In:GIS/LIS Annual Conferencing Proceedings,1995,1:535~544.
  • 43,Mark Ashworth.Spatial database standards. A MapInfo White Paper, 1997.
  • 54,ESRI Corporation.Getting started with SDE. An ESRI White Paper, 1997.
  • 65,Microsoft Corporation. Microsoft ODBC3.0 Software Develop-ment Kit and Programmer's Reference. Microsoft Press,1997.
  • 7D H Douglas,T K Peucker. Algorithms for the reduction of the number of points required to represent a line or its caricature[J].The Canadian Cartographer, 1973; 10(2): 112~122
  • 8J Hershberger,J Snoeyink. Speeding up the Douglas-Peucker line simplification algorithm[C].In:Proc 5th Intl Symp Spatial Data Handling,IGU Commission on GIS,1992:134~143
  • 9Jonathan de Halleux. A C++ implementation of Douglas-Peucker Line Approximation Algorithm.http://www.codeproject.com/cpp/dphull.asp
  • 10John Hershberger,Jack Snoeyink.An O(nlogn) Implementation of the Douglas-Peucker Algorithm for Line Simplification[C].In:Proceedings of the Tenth Annual Symposium on Computational Geometry, 1994-

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