【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。更多还原

【Abstract】 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.更多还原