DocumentCode :
593534
Title :
Structured l2−l1 experiment design regularization approach for near real time enhancement of low resolution fractional SAR imagery
Author :
Shkvarko, Yuriy V. ; Tuxpan, Jose ; Yanez, Israel
Author_Institution :
Department of Telecommunications, Center for Advanced Research and Education of the National Polytechnic Institute, CINVESTAV-IPN, Guadalajara, Mexico
fYear :
2012
fDate :
Oct. 31 2012-Nov. 2 2012
Firstpage :
274
Lastpage :
277
Abstract :
The descriptive experiment design regularization (DEDR) paradigm is aggregated with the variational analysis approach that combines the l2 image metric with the l1 sparse image gradient map metric structures in the solution space. The proposed l2−l1 structured total variation DEDR (STV-DEDR) framework is particularly adapted for enhanced imaging with low resolution side looking airborne radar/fractional SAR sensors putting in a single optimization frame adaptive SAR image despeckling and resolution enhancement that exploits the structured desired image sparseness properties. The STV-DEDR method implemented in a contractive mapping iterative fashion outperforms the competing nonparametric adaptive radar imaging techniques both in resolution enhancement and computational complexity as verified in the simulations.
Keywords :
Image reconstruction; Image resolution; Imaging; Measurement; Radar imaging; Synthetic aperture radar; Descriptive experiment design regularization; fractional synthetic aperture radar; image enhancement; remote sensing; structured total variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (EuRAD), 2012 9th European
Conference_Location :
Amsterdam, Netherlands
Print_ISBN :
978-1-4673-2471-7
Type :
conf
Filename :
6450650
Link To Document :
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