基于多尺度相干分析的船测重力数据压噪技术

Noise suppression technique for ship-borne gravity data based on multi-scale coherence analysis

为解决从国外数据共享网站下载的船测重力资料中可能存在的系统性误差问题,利用多尺度小波变换与相干性分析技术,基于水深与重力异常的径向对称相关性,建立针对国际重力船测数据的噪音压制方案,并利用从NOAA下载的船测重力与多波束测深数据,以及卫星测高重力模型(DTU21)开展实验,对船测重力数据中存在的系统性误差进行识别与针对性去噪处理,最终获得了较好的噪音压制效果。实验证明多尺度相干分析技术可以作为船测重力质量控制的有效手段。

To solve systematic errors that may exist in the marine gravity data downloaded from foreign data sharing website,by means of techniques of multi-scale wavelet transform and coherence analysis,we built a noise suppression scheme for international ship-borne gravity data based on the radially symmetric coherence between water depth and gravity.We performed experiment with gravity and multi-beam bathymetry data downloaded from NOAA,and satellite altimeter-derived gravity model(DTU21),to recognize and suppress the systematic errors existed in the ship-borne gravity data.Finally,good results of noise suppression are obtained.The experiment shows that the multi-scale coherence analysis could be an effective apporach for quality control of ship-borne gravity.