Sparsity based interferometric imaging

Raghuveer M. Rao; Nasser M. Nasrabadi; Sohail A. Dianat

doi:10.1117/12.851776

28 April 2010 Sparsity based interferometric imaging

Raghuveer M. Rao, Nasser M. Nasrabadi, Sohail A. Dianat

Proceedings Volume 7706, Wireless Sensing, Localization, and Processing V; 77060H (2010) https://doi.org/10.1117/12.851776
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Correlative interferometric imaging relies on reconstructing object intensity by using the cross-correlation across distant sensor measurements. While Fourier inversion is commonly used, the problem can also be cast as a constrained optimization problem involving positivity and boundary constraints. This paper replaces the boundary constraint with a 1 norm constraint that is known to induce sparsity under certain conditions. An experimental example demonstrates that such constrained optimization can potentially provide reconstruction whose extent conforms closely to that of the source.

Citation Download Citation

Raghuveer M. Rao, Nasser M. Nasrabadi, and Sohail A. Dianat "Sparsity based interferometric imaging", Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060H (28 April 2010); https://doi.org/10.1117/12.851776

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