不规则DEM数据的粗差探测算法的应用  

An application of detecting gross errors in DEM of irregular data

作　　者：杨晓云[1] 岑敏仪[2] 梁鑫[1] 

机构地区：[1]广西工学院土木建筑工程系,广西柳州545006 [2]西南交通大学土木工程学院

出　　处：《测绘科学》2007年第3期78-79,共2页Science of Surveying and Mapping

基　　金：国家自然科学基金资助项目(40271092);香港特别行政区研究基金委员会部分资助项目(香港理工大学5068/99E);广西工学院硕士基金资助项目(500428)

摘　　要：粗差作为影响精度的重要因素,其存在会造成DEM空间上的严重扭曲,有时能导致DEM及其产品严重失真,甚至完全不能使用。本文在对现有的粗差探测算法分析的基础上,提出了一种新型的适用于离散形式DEM粗差探测算法,并采用实测的ZX铁路线DEM数据对该算法进行检验,试验结果证实,新算法对不规则DEM粗差的探测有效实用。Gross error is one of the important factors that affect data accuracy. The presence of gross errors will distort the image of digital elevation model (DEM) in spatial space. In some cases, totally undesirable and unacceptable results may be produced in DEM as well as its products due to the existence of such gross errors. Therefore, the detection of gross error in DEM has been becoming the focus that people are greatly concerned for. Depend on analyzing the existing algorithms of detecting gross errors in DEM, a new algorithm for irregular data is deduced in this paper. A set of data from ZX railway line is tested using such new algorithm, which proves that the algorithm is of efficiency and actual utility.

关 键 词：数字高程模型 精度 粗差探测 

分 类 号：P207[天文地球—测绘科学与技术]