DEM数据拼接对重力地形改正的影响及效果

Influence and effect of dem data mosaic on gravity terrain correction

数字高程模型(Digital Elevation Model,DEM)在中大比例尺重力地改中广泛应用,但对于数据处理中的多种插值算法的有效融合,并提高精度和处理速度,一直没有得到有效解决.基于ArcGIS10、GeoIPAS3.0、Geosoft的DEM拼接所用插值方法各异,插值精度各有差别,Suffer8在数据拼接时有最近邻居插值法、双线性插值法、立方卷积插值法三种插值方法,有Average、Begin、Last、Minimum、Maximum六种交迭方法.本文提出一种基于改进的双线性插值法DEM数据拼接方法,与Suffer8双线性插值法运算方法相比,处理精度更高,并有效规避了离差点缺陷.将其用于山东省栖霞市臧家庄幅1:5万重力中区地改,证明该方法处理效率更高,快速精确.

Digital Elevation Model(DEM) is widely used in gravity modification of medium and large scales, but it has not been effectively solved for the effective fusion of multiple interpolation algorithms in data processing and the improvement of accuracy and processing speed. Based on ArcGIS10, GeoIPAS3.0, and Geosoft’s DEM stitching, the interpolation methods are different and the interpolation accuracy is different. Suffer8 has three interpolation methods: nearest neighbor interpolation, bilinear interpolation, and cubic convolution interpolation. There are six overlapping methods: Average, Begin, Last, Minimum, and Maximum. This paper proposes a DEM data splicing method based on an improved bilinear interpolation method. Compared with the Suffer8 bilinear interpolation method, the processing accuracy is higher, and the deviation point defects are effectively avoided. The method is applied to the 1:50 thousand gravity center area reform in Zangjiazhuang, Qixia County, Shandong Province, which proves that the method is more efficient, fast and accurate.