Wavelet Assisted BEMD - A Hybrid Method for Gravity Anomaly Separation

Accurate separation of regional-residual component from observed gravity anomaly is always a challenging tasks in gravity interpretation and no single approach can perfectly accomplish the job. In the present paper an improved and hybrid workflow (named as wavelet assisted BEMD) has been proposed using two modern signal decomposition approaches namely, wavelet transform and Bi-dimensional Empirical mode decomposition (BEMD). This hybridization acts as complementary to the constituent methods and has helped to compensate the shortcomings of one method by other. With synthetic examples it has been demonstrated that the proposed wavelet assisted BEMD method is more efficient in separating the regional-residual component from the observed gravity anomaly compared to the individual application of wavelet transform or BEMD. It has an added advantage of suppressing the unwanted noises significantly. Thus, the wavelet assisted BEMD approach will be more effective in delineating complex near surface features even from noisy data