The Application of Curvelet Transform Method for Regional Gravity Data

Abstract

Regional gravity anomaly provides important information for the study of regional geologic structure and the division of tectonic units. The major concern of the geophysicists is how to obtain the detailed data of regional gravity using reliable methods. In this study, curvelet transform was used for the first time in the multi-scale analysis of data of regional gravity. As one method for multi-scale geometric analysis, curvelet transform overcomes the limitations of wavelet transform in representing the high-dimensional singularities such as edges and contours. When processing of the data of regional gravity, the curvelet transform can more effectively present the detailed information. In this study, the data of synthetic model was respectively used for the experiments based on the wrapping algorithm of second-generation curvelet transform in combination with translation of cycle, iterative operation and Monte Carlo strategy for threshold adjustment. The experimental results show that the curvelet transform is efficient in multiscale separation for the data of regional gravity. This technique provides reference to the application of relevant multiscale and multi-orientational transform methods in the processing of data of gravity.