A curvelet-based distance measure for seismic images
Yazeed Alaudah, Ghassan AlRegib · 2015
We introduce a new curvelet-based distance measure for post-migration seismic data. The measure exploits the highly directional content of seismic images. It calculates the sum of the squared chord distances between the histograms of the curvelet coefficients of two images, over all orientations and scales. In a retrieval task consisting of 918 retrieval instances, the proposed method successfully retrieves all images. This wasn't achieved by other methods in the literature. Furthermore, in comparison to the state-of-the-art, the proposed measure required 86% less computation time.