Regional Crust Density Analysis Based on Multi-Scale Wavelet of Empirical Orthogonal Gravity Inversion

摘要

To further improve the performance of regional crust density analysis algorithm and the accuracy of the abnormal regional forecast, this Thesis puts forward a kind of regional crust density analysis based on multi-scale wavelet of empirical orthogonal gravity inversion. Firstly, it makes use of gravity inversion process to obtain the eigenvector of abnormal region in the gravity field within the study region and obtain the principal component of time series of gravity inversion data through the empirical orthogonal method; secondly, it conducts more carefully information processing and extraction for the principal component of time series with multi-scale wavelet to obtain more precise forecasted position of the abnormal region; finally, the experimental comparison of the regional crust density analysis did somewhere in the Northeast shows that the proposed algorithm has higher accuracy of the abnormal position forecast of crust density and that the calculation complexity does not increase significantly.