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Proceedings Paper

Sparsity based interferometric imaging
Author(s): Raghuveer M. Rao; Nasser M. Nasrabadi; Sohail A. Dianat
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Paper 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.

Paper Details

Date Published: 28 April 2010
PDF: 7 pages
Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060H (28 April 2010); doi: 10.1117/12.851776
Show Author Affiliations
Raghuveer M. Rao, U.S. Army Research Lab. (United States)
Nasser M. Nasrabadi, U.S. Army Research Lab. (United States)
Sohail A. Dianat, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7706:
Wireless Sensing, Localization, and Processing V
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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