小波阈值去噪法在矿区地表变形监测数据处理中的应用  

Application of Wavelet Threshold Denoising Method in Data Processing of Surface Deformation Monitoring in Mining Area

作　　者：邓军[1] DENG Jun(School of Geology and Geometory Engineering,Chongqing Vocational Institute of Engineering,Chongqing 402260,China)

机构地区：[1]重庆工程职业技术学院地质与测绘工程学院,重庆402260

出　　处：《测绘与空间地理信息》2020年第3期31-33,共3页Geomatics & Spatial Information Technology

基　　金：重庆市教委科技项目(KJQN201803404);重庆市煤炭发展专项资金项目(2015ZX017)资助。

摘　　要：为了解决矿区地表变形观测数据中含有的粗差对地表沉陷规律研究带来的不利影响,提出了采用小波阈值去噪法对原始观测数据进行处理。分析了小波阈值去噪的基本过程,讨论了小波阈值函数,并对两种阈值函数进行了对比;使用Matlab小波工具箱对观测数据进行分析并建立回归曲线,与地表实测沉陷值进行了验证。结果表明:相比常用的数据处理方法,小波阈值去噪法能有效消除粗差对变形结果的影响,实现了矿区高精度、动态的地表变形监测,具有较高的推广价值。In order to overcome the adverse effects of gross errors in surface deformation observation data of mining area on the study of surface subsidence law,a wavelet threshold denoising method is proposed to process the original observation data. The basic process of wavelet threshold denoising is analyzed,the wavelet threshold function is discussed,and the two threshold functions are compared. The observed data are analyzed and the regression curve is established by using the wavelet toolbox of MATLAB,which is verified by the actual surface subsidence value. The results show that the wavelet threshold denoising method can effectively eliminate the influence of gross errors on deformation results. It realizes high-precision and dynamic monitoring of surface deformation in mining area,which has good popularization value.

关 键 词：小波 阈值 地表变形 误差 

分 类 号：P25[天文地球—测绘科学与技术] TD17[矿业工程—矿山地质测量]