基于小波分解和ROI的数字高程模型表面建模  

DEM Topography Surface Modeling Based on Wavelet Multi-scale Decomposition and ROI

作　　者：杨万春[1] 杜世培[1] 

机构地区：[1]贵州大学信息工程学院,贵州贵阳550003

出　　处：《计算机与现代化》2007年第3期73-76,共4页Computer and Modernization

基　　金：教育部春晖计划科研项目(Z2004152016)

摘　　要：将小波多尺度分解和ROI应用于数字高程模型(DEM)的表面建模中,首先用非均匀B样条曲面进行数字高程模型地形表面建模,然后用小波多尺度的特征将地表曲面进行压缩和光顺处理。对复杂地表曲面,可能只对某些局部区域感兴趣,因此在小波多尺度分解过程中要结合感兴趣区域(ROI)的方法。本文阐述了地表曲面小波分解和ROI多分辨率表示的原理,给出了具体曲面的小波分解算法和实现结果,有效减少了曲面存储所需的空间并提高了曲面的光顺程度。Wavelet multi-scale decomposition and ROI are used in multi-resolution modeling on digital elevation model （ DEM ） topography surface. Non-uniform B-spline is first applied to DEM topography surface, then the surface is decomposited and fairing by wavelet multi-scale effectively. For complicated surface, it brings up the method of combining wavelet multi-scale decomposition and region of interest（ROI）. This paper set forth the theory of wavelet multi-scale decomposition and ROI, and a discription of surface on the basis of wavelet decomposition is given, then the corresponding experiment results are provided. By this method ,it is extremely useful for storage and improves the extent of surface fairing.

关 键 词：小波分解 ROI B样条曲面 多分辨率表示 数字高程模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]