Airborne gravimetry data sparse reconstruction via L1-norm convex quadratic programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
http://link.springer.com/content/pdf/10.1007/s11770-015-00481-5.pdf
Reference31 articles.
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3. Boyd, S., and Vandenberghe, L., 2004, Interior-point methods, In Boyd, S., and Vandenberghe, L., Eds., Convex Optimization: Cambridge University Press.
4. Cai, R., Zhao, Q., She, D. P., Yang, L., Cao, H., and Yang, Q. Y., 2014, Bernoulli-based random under-sampling schemes for 2D seismic data regularization: Applied Geophysics, 11(3), 321–330.
5. Cai, S. K., Zhang, K. D., Wu, M. P., and Huang, Y. M., 2013, The first airborne scalar gravimetry system based on SINS/DGPS in China: Science China Earth Sciences, 56(12), 2198–2208.
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