March 4, 2010 Journal article Open Access

M. Gambetta

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    <subfield code="a">This paper proposes a digital enhancement tool for magnetic anomaly maps. The magnetic anomaly map is decomposed&lt;br&gt;by means of Eigenvalue Decomposition into a number of orthogonal bases. The dataset is then filtered&lt;br&gt;accordingly to a specific variance pattern. The dataset is decomposed and the eigenvalues population is inspected&lt;br&gt;so that the variance is evaluated yielding the definition of two thresholds. Subsequently, the dataset is&lt;br&gt;reconstructed into three subsets which hold different features respectively. The proposed filtering procedure is&lt;br&gt;first tested with a synthetic signal and then applied to the data of Cape Roberts (Antarctica) aeromagnetic survey,&lt;br&gt;flown over an off-shore rift basin. The proposed method appears to be efficient in noise removal and acts as&lt;br&gt;a digital enhancement tool which provides TMI anomaly maps revealing hidden lineaments, otherwise not visible.&lt;br&gt;The methodology effectiveness as a hidden lineaments detection tool has been checked against independent&lt;br&gt;data.</subfield>
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    <subfield code="a">Modal decomposition of magnetic maps: the case of Cape Roberts aeromagnetic survey, Antarctica</subfield>
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