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基于小波分析的等高线数据压缩模型
引用本文:朱长青,王玉海,李清泉,柳林涛.基于小波分析的等高线数据压缩模型[J].中国图象图形学报,2004,9(7):841-845.
作者姓名:朱长青  王玉海  李清泉  柳林涛
作者单位:[1]中国科学院测量与地球物理研究所,武汉430077 [2]解放军信息工程大学理学院,郑州450052 [3]武汉大学测绘遥感信息工程国家重点实验室,武汉430070
基金项目:武汉大学测绘遥感信息工程国家重点实验室基金 (WKL(0 1)0 10 1),国家自然科学基金(4 0 1740 0 6,40 1760 3 2 ),中国科学院百人计划
摘    要:鉴于矢量地图数据压缩在地形环境仿真、制图综合、GIS等研究中具有重要作用,为此,利用小波变换理论和矢量地图数据的特点,提出了一种用于等高线数据压缩的模型和方法,即首先,基于小波变换的特征,提出了基于小波变换的等高线数据压缩的基本思想;然后,根据等高线数据的小波变换特点,研究了小波变换的边界处理;同时,给出了用于等高线数据压缩的特征点选取方法;并提出了基于小波变换的等高线数据压缩模型;最后,根据提出的压缩模型,对实际等高线数据进行了实验。理论分析和实验结果表明,该方法不仅能保持较高的压缩比,而且能使压缩后的数据保留原来数据的变化趋势,从而较好地反映了原数据的内在特性和规律性。

关 键 词:小波分析  等高线数据压缩  边界处理  特征点追踪  矢量地图  制图综合  GIS
文章编号:1006-8961(2004)07-0841-05

A Model to Compress Contour Data Based on Wavelet Analysis
ZHU Chang-qing ,WANG Yu-hai ,LI Qing-quan ,LIU Ling-tao ,ZHU Chang-qing ,WANG Yu-hai ,LI Qing-quan ,LIU Ling-tao ,ZHU Chang-qing ,WANG Yu-hai ,LI Qing-quan ,LIU Ling-tao and ZHU Chang-qing ,WANG Yu-hai ,LI Qing-quan ,LIU Ling-tao.A Model to Compress Contour Data Based on Wavelet Analysis[J].Journal of Image and Graphics,2004,9(7):841-845.
Authors:ZHU Chang-qing  WANG Yu-hai  LI Qing-quan  LIU Ling-tao  ZHU Chang-qing  WANG Yu-hai  LI Qing-quan  LIU Ling-tao  ZHU Chang-qing  WANG Yu-hai  LI Qing-quan  LIU Ling-tao and ZHU Chang-qing  WANG Yu-hai  LI Qing-quan  LIU Ling-tao
Abstract:It is very important to compress vector relief data for the study and application of the terrain environment simulation, cartographic generalization, GIS and so on. Using the theory of wavelet analysis and the characteristics of the vector relief data, in this paper, a model to compress contour data is developed. Firstly, a basic ideal is proposed to compress contour data based on wavelet transformation. Then, the boundary of wavelet transformation is processed by a developed method. And the feature points of contour data are selected according on given rules so that the compressed data can retain the characteristic of original data well. Thus, a model to compress contour data is obtained based on wavelet transformation. Finally, actual contour data are experimented using the developed compression model. The theory analysis and experiments show that the developed model not only obtains the high compression ratio for contour data but also retain the trend and the characteristics of original contour data. The developed method can be used with the widely areas such as digital terrain models, GIS, remote sensing et al.
Keywords:wavelet analysis  vector relief data compression  boundary processing  tracing characteristic points
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