| 基于自适应抗差最小二乘的DEM数据粗差剔除 |
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| 引用本文： | 陈再辉,路晓峰.基于自适应抗差最小二乘的DEM数据粗差剔除[J].海洋测绘,2006,26(6):15-17. |
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| 作者姓名： | 陈再辉 路晓峰 |
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| 作者单位： | 长安大学,陕西,西安,710054 |
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| 摘 要： | 数字高程模型(DEM)生产中最关键的环节是质量控制,而粗差是影响DEM质量的重要因素之一。简单介绍了自适应最小二乘估计的原理,并将其用于DEM趋势面拟合中,结果表明该方法具有良好的抗粗差的能力,用含粗差的数据拟合出的曲面与实际地形比较符合。
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| 关 键 词： | 自适应抗差最小二乘估计 粗差 数字高程模型 |
| 文章编号： | 1671-3044（2006）06-0015-03 |
| 收稿时间： | 2006-04-06 |
| 修稿时间： | 2006-10-28 |
Gross Error Elimination in DEM Data Based on Adaptive Robust Least Squares Estimation |
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| CHEN Zai-hui,LU Xiao-feng.Gross Error Elimination in DEM Data Based on Adaptive Robust Least Squares Estimation[J].Hydrographic Surveying and Charting,2006,26(6):15-17. |
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| Authors: | CHEN Zai-hui LU Xiao-feng |
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| Abstract: | Quality control is the key link in DEM production,and the gross error is one of important factors affecting DEM quality.In this paper,the theory of adaptive robust least squares estimation is simply introduced and used in DEM trend surface fitting.The result indicates that this method is capable of resisting the gross errors.Consequently,the surface fitted with data including gross errors accords with the actual terrain well. |
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| Keywords: | adaptive robust least squares estimation(ARLSE) gross error digital elevation model(DEM) |
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