Abstract
High Resolution AeroMagnetic (HRAM) maps display geological features of various shapes, orientations and magnitudes. Several techniques exist to enhance and map these geological features from HRAM data. These techniques include the FFT, wavelet transform, curvelet and ridgelet. Although these techniques provide powerful tools for extracting either linear, curvilinear or circular features from HRAM data, they fail to extract all these features in one run. For example, using wavelet analysis the horizontal, the vertical and the diagonal information in the data can be extracted from three different images. We believe that linear, curvilinear and circular features are important to map because they reflect certain geological structures such as fractures, faults, folds, impact structures and kimberlite pipes that might have significant impact on geophysical data interpretation. For this reason, we tested a new type of image enhancement technique based on steerable filters to map linear, curvilinear and circular features from HRAM data and compared the results to the results of wavelet transform. We tested the method on HRAM data from the Northeastern British Columbia (NEBC). The preliminary results of the test are very encouraging. We were able to detect curvilinear and circular features that did not appear on the results of the wavelet transform images.
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