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规则格网DEM粗差定位算法的比较
引用本文:黄昌仁,黄世斌,梁鑫.规则格网DEM粗差定位算法的比较[J].山西建筑,2007,33(25):354-355.
作者姓名:黄昌仁  黄世斌  梁鑫
作者单位:1. 柳州市市政工程有限责任公司,广西柳州 545005
2. 广西工学院土木建筑工程系,广西柳州 545006
摘    要: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。

关 键 词:数字高程模型  粗差探测  坡度  参数统计  主成分分析
文章编号:1009-6825(2007)25-0354-02
修稿时间:2007-05-25

An application of detecting gross errors in DEM of regular data
HUANG Chang-ren,HUANG Shi-bin,LIANG Xin.An application of detecting gross errors in DEM of regular data[J].Shanxi Architecture,2007,33(25):354-355.
Authors:HUANG Chang-ren  HUANG Shi-bin  LIANG Xin
Affiliation:HUANG Chang-ren HUANG Shi-bin LIANG Xin
Abstract: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.
Keywords:digital elevation model  gross error detection  slope  parametric statistical  principal components analysis
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