Airborne gravimetry data sparse reconstruction via L1-norm convex quadratic programming
Airborne gravimetry data sparse reconstruction via L1-norm convex quadratic programming
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Publisher
Beijing: Chinese Geophysical Society
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Language
English
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Publisher
Beijing: Chinese Geophysical Society
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Scope and Contents
Contents
In practice, airborne gravimetry is a sub-Nyquist sampling method because of the restrictions imposed by national boundaries, financial cost, and database size. In this study, we analyze the sparsity of airborne gravimetry data by using the discrete Fourier transform and propose a reconstruction method based on the theory of compressed sensing for...
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Full title
Airborne gravimetry data sparse reconstruction via L1-norm convex quadratic programming
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Record Identifier
TN_cdi_proquest_miscellaneous_1808375341
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1808375341
Other Identifiers
ISSN
1672-7975
E-ISSN
1993-0658
DOI
10.1007/s11770-015-00481-5
