Using Two-dimensional Anisotropic Wavelet Transform for Exploring Anisotropy from Airborne Spectrometric Measurements

A natural process can be described as a mixture of several components of different scales. The two-dimensional anisotropic wavelet transform is shown to be appropriate to study such processes and to focus on details at a given analyzing scale.In this paper, we apply the normalized optimized anisotropic wavelet coefficient (NOAWC) method on airborne gamma ray recorded over the Hoggar area (Algeria) to characterize anisotropies of orientation, shape and spatial distributions of the radioactive sources at different scales. This technique may provide additional significant information to the conventional analysis.