We present comparisons of some of the available algorithms for acquisition footprint suppression. Fourier transform based Kx-Ky filtering is very efficient for noise removal, but can also remove geologic features. New wavelet transforms based techniques show promising results that can overcome these disadvantages. They allow for decomposition of the seismic signal on different scales and filtering of only those that have noise. The combination of 1D decomposition (wavelet transform) and 2D filtering (FFT or wavelet transform) gives the best results but it is computationally intensive. We use attribute analysis to evaluate properties of filtering techniques and notice improvement in both lineament resolution and noise removal.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.