Interpretation of Gravity Data Using Wavelet Transform

Various techniques have been developed to interpret potential field data which are broadly categorized as: Forward and Inverse modeling (Blakely, 1995). Ambiguity in identification and characterization of the sources from the potential field data makes formulation of initial model a critical step while analyzing the data. The second category of techniques (inversion) shows many constraints such as ill posed problem, non-uniqueness and need of some a priori information (Dimri, 1992). To overcome these problems a technique is developed to process potential field data in wavelet domain (space scale domain) using continuous wavelet transform (Moreau et al., 1997). The wavelet transform (WT) technique is efficient to use and show good resolution. Further, this technique correctly handles the noises and non-stationarity of data which are generally difficult to tackle in other methods.