模平方阈值去噪法在沉降监测中的应用  

Application of wavelet threshold method based on modular square in subsidence monitoring

作　　者：陈于[1] 金波文 赵鹏[1] 赵汝辉 

机构地区：[1]中国地质大学(武汉)信息工程学院,武汉430074 [2]国家海洋信息中心,天津300171 [3]东方地球物理勘探有限责任公司,天津300457

出　　处：《测绘科学》2017年第2期166-171,共6页Science of Surveying and Mapping

摘　　要：针对现有去噪方法中存在的噪声信号提取、粗差定位等问题,该文基于小波阈值去噪的原理,提出一种基于软阈值改进的模平方阈值去噪法。通过仿真数据实验对比分析了软阈值去噪法、加权平均阈值去噪法及模平方阈值去噪法的去噪实际效果,并应用于汽车试验场沉降数据预处理。实验结果表明,基于模平方的阈值去噪法能够较好地保留观测信号原始信息,并且可以有效地去除噪声,其去噪效果优于软阈值和加权平均阈值去噪法,能在汽车试验场沉降数据处理中得到较好的应用。Aiming at problems of existing de-noising methods, on the basis of the principle of wavelet threshold de-noising, a modular square threshold de-noising method which improved based on soft thresh- old was proposed. The de-noise effect of soft threshold de-noising method, the weighted average of the threshold de-noising method and modular square threshold de-noising method were compared by using the simulation data. Then three methods were applied in the proving ground subsidence data preprocessing. Experimental results showed that the modular square threshold de-noising method could retain the original information of observation signal more reasonable; its de-noising effect was better than that of soft threshold and weighted average threshold, which was well applicable for subsidence data processing in proving ground.

关 键 词：汽车试验场 沉降监测 阈值去噪 数据处理 

分 类 号：P207[天文地球—测绘科学与技术]