Texture-based enhancement and classification of aeromagnetic data
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Integration of aeromagnetic data can be based on two fundamental variations in the data, in amplitude and texture, giving the rationale behind this project.
These two characteristics were used to identify boundaries based on changes in one or both properties, areas with similar characteristics being mapped as the same geological entity.
Findings from the study include: the grey-level co-occurrence matrix (GLCM) method of textural analysis is very robust, and the textural component reflects in mainly shallow magnetic sources. AMIRA Project P505.
Keywords: aeromagnetic data, co-occurrence matrix, texture-based enhancement
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