基于小波分析的线状要素压缩优化的综合性研究

基金项目: 国家973计划资助项目(2006CB701302);国家自然科学基金资助项目(40401052)

详细信息

Compression and Optimization of the Line Features Based on Wavelet Analysis

¹ Institute of Science,Information and Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China² Institute of Surveying and Mapping,Information and Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China

Funds: 国家973计划资助项目(2006CB701302);国家自然科学基金资助项目(40401052)

摘要: 利用小波分析理论、Douglas算法、曲率分析算法,对线状要素的压缩优化进行了深入的研究,并在建立线状要素压缩优化的自适应模型的基础上,对实际数据进行了试验。结果表明,此方法不仅能够保持高的压缩比,而且能够很好地保持原数据的特征。
- 小波分析 /
- Douglas算法 /
- 曲率分析算法 /
- 线状要素
Abstract: It is important to compress and optimize the line features in the studying of the terrain environment simultaion,cartographic generalization and GIS.Based on the theory of wavelet analysis,the algorithm of Douglas and curvature analysis,the compression and optimization of the line features and the self-adaptive model are studied.The results of some experiments show that the proposed approach maintaines not only high compressing ratio but also the characteristics of the line features very well.
- wavelet analysis /
- Douglas algorithm /
- curvature analysis algorithm /
- line features