| 基于变形观测数据粗差探测与修复的小波变换法 |
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| 引用本文： | 刘忠强,孙昌瑜. 基于变形观测数据粗差探测与修复的小波变换法[J]. 测绘与空间地理信息, 2013, 0(12): 224-226 |
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| 作者姓名： | 刘忠强 孙昌瑜 |
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| 作者单位： | 吉林省水利水电勘测设计研究院,吉林长春130012 |
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| 摘 要： | 研究小波变换在变形监测数据中探测与修复粗差的应用问题，实例分析证明：借助小波的多分辨率分析和数理统计的知识，能有效地探测出粗差，并通过对高频系数模极大值点的插值处理，结合小波重构等理论有效地修复粗差，为进一步进行变形分析与预报提供可靠保证。
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| 关 键 词： | 粗差 探测与修复 小波变换 |
Wavelet Transformation Based on Deformation Observation Data of Gross Error Detection and Correction |
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| Affiliation: | LIU Zhong - qiang, SUN Chang - yu (Water Resource and Hydropower Consultative Company of Jilin Province,Changchun 130012, China) |
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| Abstract: | The application of wavelet transformation in deformation monitoring data of detection and repair of coarse error is studied firstly. The results show that multi -resolution analysis and mathematical statistics are useful to detect gross error. And through the high frequency coefficient maxima point interpolation, wavelet reconstruction theory can effectively repair gross error. It can supply as- surance for further analyzing and forecasting sedimentation in formation. |
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| Keywords: | gross error detection and correction wavelet transformation |
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