监测资料奇异值检验的小波变换方法  

Deformation Monitoring Data Detected Singular Value Base on Wavelet Transform Method

作　　者：沙磊[1] 任超 SHA Lei;REN Chao(Anhui Institute of Geological Experiment（Hefei Mineral Resources Supervision and Testing Center Ministry of Land and Resources）,Hefei 230001,China;Institute of Surveying Mapping and Geoinformation Guilin University of Technology,Guilin 541004,China)

机构地区：[1]安徽省地质实验研究所(国土资源部合肥矿产资源监督检测中心),安徽合肥230001 [2]桂林理工大学测绘地理信息学院,广西桂林541004

出　　处：《测绘地理信息》2018年第4期81-83,共3页Journal of Geomatics

基　　金：国家自然科学基金资助项目(41461089);广西自然科学基金资助项目(2014GXNSFAA118288)

摘　　要：针对变形监测资料奇异值检验问题,引入了小波变换方法。首先利用低频分量对趋势项进行分离,再对其余高频分量进行奇异值检验。通过实例对比分析,验证了该方法是一种有效的检测手段。A wavelet transform method is introduced to detect singular value of deformation monitoring data.Firstly,the low-frequency part is used to determine deformation trend.Then the rest of high-frequency components are detected the singular value.This method proves more effective through example analysis.

关 键 词：奇异值 变形监测 小波变换 

分 类 号：P207[天文地球—测绘科学与技术] P258