引用本文: 徐志敏, 林志勇, 李雯静, 龙毅. 基于填挖方分析的DEM精度评价模型[J]. 武汉大学学报 ( 信息科学版), 2017, 42(8): 1167-1171.
XU Zhimin, LIN Zhiyong, LI Wenjing, LONG Yi. DEM Accuracy Evaluation Model Based on Cut Fill Method[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1167-1171.
 Citation: XU Zhimin, LIN Zhiyong, LI Wenjing, LONG Yi. DEM Accuracy Evaluation Model Based on Cut Fill Method[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1167-1171.

## DEM Accuracy Evaluation Model Based on Cut Fill Method

• 摘要: 针对DEM高程中误差评价指标的不足，提出了一种基于填挖方分析的DEM精度评价模型以及计算方法，将DEM填挖方误差Ec定义为待评价DEM与参考DEM在同一区域的三维体积差异和与该区域面积之商。探究了DEM填挖方误差和DEM分辨率R以及地形平均坡度S之间的关系，得到DEM填挖方误差的定量估算模型为Ec=0.004 8·R·S。实验表明，模型估算精度达95.85%以上。该模型为在不同地形条件下，确定满足限差要求的DEM分辨率提供了依据。

Abstract: The traditional DEM accuracy evaluation models have some defects in scientificity and applicability. For instance, the wisely used elevation mean error model only shows the overall differences in elevation in the given area, but ignores the fact that DEM representative error still exists even when there is no difference in elevation between a demo DEM and an reference DEM. This research puts forward a novel DEM accuracy evaluation model based on cut fill method in GIS. The DEM cut fill error is defined as the volumetric differences between the DEM and reference DEM divided by the area of the DEM region. Based on the concept and calculation method of DEM cut fill error, we then explored the relationship between Ec and DEM resolution R and the average terrain slope S, in order to find out how DEM resolution and DEM average slope affect the DEM accuracy. Experiments are carried out based on reference DEM with one meter resolution in different landscapes including plains, hills and mountains. We calculate the DEM cut fill error of every DEM part referencing to accurate DEM with our proposed calculation method. Together with the resolution and average terrain slope of every DEM part, quantitative calculation model is found to calculate the DEM cut fill error, which is expressed as Ec=0.004 8·R·S. Finally, further verification experimental results show that the estimation accuracy to predict DEM cut fill error of the quantitative model is more than 95.85%. This model is useful in deciding proper DEM resolution to meet the tolerances of error under different terrain conditions.

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