基于提升格式的GIS地形数据压缩方法研究

本文中将小波提升应用到GIS数据压缩中，提出一种新的数据压缩方法，其使用一系列不相交的三角形来近似表示地球表面。这个方法分成如下几个步骤来进行：首先，将任意的数据点集合通过使用Delaunay 三角形来构建TIN；然后使用插值小波过滤方法通过分裂和提升两步对TIN进行处理，在分裂过程将一个三角形分割成几个小三角形，在提升过程中对分裂后的点坐标进行修改；最后使用第二代小波对数据点集进行压缩。

A study of GIS terrain data compression method Based on lifting format

This article will raise a new method of data compression by applying wavelet lifting to the field of data compression in GIS, which uses a series of disjoint triangles to approximate the Earth's surface. This method is divided into several steps as follows: firstly, use the Delaunay triangle of any points data to build a TIN; then use the wavelet interpolation and filtration methods by split-up and lifting to deal with the TIN, during the splitting process a triangle will be divided into several small triangles, during the lifting process the point coordinate after spilt-up will be modified; finally use the second generation wavelet to compress the points data.