Sparsity constraints using a Laplacian kernel to get geological structures from potential field data
ABSTRACT We propose a new method for including sparsity constraints into potential field data inversion using a Laplacian kernel. The method obtains three‐dimensional density distributions, which are at best a proxy for geological structures. Compressive sensing has been used in many domains to reco...
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Veröffentlicht in: | Near surface geophysics (Online) 2018-02, Vol.16 (1), p.39-52 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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