规则格网DEM粗差定位算法的比较

An application of detecting gross errors in DEM of regular data

介绍了三种适用于规则格网DEM的粗差探测算法,分别是基于坡度信息的算法、基于参数统计的算法以及主成分分析法,并通过ZX铁路实测数据验证了上述算法的可行性和有效性。从试验结果可以看出,主成分分析法实施简单,运算速度快,具有较好的实用价值。

The paper introduces three gross error detection algorithms based on regular DEM,namely the method that applies constrains to the slopes and to the changes in slope at each point,the parametric statistical method and the one based on principal components analysis.A set of data from ZX railway line is tested using such two algorithms,which proves that the algorithms are of efficiency and actual utility.From the test result,the method based on principal components analysis is simpler in theory and can be operated quicker than the other two algorithms.