| 基于参数统计的DEM粗差探测算法 |
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| 引用本文： | 黄宏波,梁鑫,杨晓云,罗刚.基于参数统计的DEM粗差探测算法[J].测绘工程,2008,17(1):37-39,47. |
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| 作者姓名： | 黄宏波 梁鑫 杨晓云 罗刚 |
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| 作者单位： | 浙江省交通工程建设集团,浙江,杭州,310027;广西工学院,土木建筑工程系,广西,柳州,545006 |
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| 摘 要： | 基于参数统计的DEM粗差探测算法利用双线性内插法计算某点的高程估值,并以此进行粗差检测,方法简单易行。文中以Kriging法取代原有的内插算法,使高程估值的计算更加符合实际的分布。试验证明基于半变异函数的Kriging内插法较传统方法更为准确,也使原有算法的可靠性得到进一步的提高。
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| 关 键 词： | 数字高程模型 半变异函数 参数统计 Kriging |
| 文章编号： | 1006-7949（2008）01-0037-03 |
| 收稿时间： | 2007-03-22 |
| 修稿时间： | 2007年3月22日 |
Detecting gross parametric statistical method errors in DEM of regular data basedon |
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| HUANG Hong-bo,LIANG Xin,YANG Xiao-yun,LUO Gang.Detecting gross parametric statistical method errors in DEM of regular data basedon[J].Engineering of Surveying and Mapping,2008,17(1):37-39,47. |
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| Authors: | HUANG Hong-bo LIANG Xin YANG Xiao-yun LUO Gang |
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| Abstract: | Parametric statistical method for error detection in digital elevation model has been deduced by Felicisimo, based on a linear interpolation using the four closer neighbor points. The method is simple, but the simplicity of this interpolation method gives a theoretically less realistic result than that being obtained by applying more complex methods. Among those, the best option would probably be the Kriging. The test proves that Kriging provides unbiased estimates with minimum and known variance, and makes the original algorithm more credible. |
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| Keywords: | digital elevation model semivariogram parametric statistics Kriging |
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