小波变换在船载海洋重力测量数据处理与分析中的应用

Application of wavelet transform in shipborne ocean gravimetry data processing and analysis

船载重力测量是获取海洋地球重力场的重要方法之一,为提高船载重力测量数据的精度,采用Db8小波和Haar小波两种小波变换方法,分别对添加了两种随机噪声的某海域重力测量数据进行降噪处理与分析。结果显示,经Db8小波处理的数据绝对精度分别提高了1.0242 mGal和9.2747 mGal,相对精度分别提高了71%和93%;采用Haar小波变换后,绝对精度分别提高了0.8044 mGal和9.1095 mGal,相对精度分别提高了56%和91%。两种小波变换方法处理后的数据均能够很好地保留数据基本变化趋势、为重力勘探判别物体提供判别依据。

Shipborne gravimetry is one of the critical methods for obtaining marine earth gravity field information.In order to improve the accuracy of shipborne gravimetry data,Db8 and Haar wavelet transform methods are used to denoise the gravity data with two kinds of random noise.The results show that the absolute accuracy of gravity data is improved by 1.0242 mGal and 9.2747 mGal,and the relative accuracy is increased by 71%and 93%after Db8 wavelet transform processing.After Haar wavelet transform processing,the absolute accuracy of gravity data is improved by 0.8044 mGal and 9.1095 mGal,and the relative accuracy is increased by 56%and 91%.The data can retain the basic trend after noise reduction.It can provide a basis for gravity exploration.