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Content Provider | IEEE Xplore Digital Library |
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Author | Shkvarko, Y.V. del Campo, G.D.M. Yanez, J.I. |
Copyright Year | 2013 |
Description | Author affiliation: Center for Adv. Res. & Educ., Nat. Polytech. Inst., Guadalajara, Mexico (Shkvarko, Y.V.; del Campo, G.D.M.; Yanez, J.I.) |
Abstract | We address a new structured descriptive experiment design regularization (DEDR) based approach for feature-enhanced recovery of scene power reflectivity maps from the low resolution imagery acquired with conventional low cost side looking radar systems operating in harsh sensing environments. The feature-enhanced RS scene recovery from the low resolution radar imagery is treated as a nonlinear inverse problem with model uncertainties. To alleviate the problem ill-posedness, we propose to aggregate the error $ℓ_{2}$ squared norm minimization based DEDR estimation framework with the variational analysis (VA) inspired - $ℓ_{2}$ $-ℓ_{1}$ metrics structured (MS) regularization. The MS regularization level is aimed at exploiting the prior model information about the piecewise sparseness of the scene reflectivity gradient maps via aggregating the corresponding metrics structures in the image/solution space. The resulting fused DEDR-MS feature-enhanced sensing method is implemented in the implicit contractive mapping iterative mode. Our DEDR-MS method outperforms the most prominent competing radar image enhancement techniques that do not aggregate the DEDR with the VA inspired MS regularization both in the resolution-enhancement-over-noise-suppression and the convergence rates as verified in the reported computer simulations. |
Sponsorship | IEEE Aerosp. Electron. Syst. Soc. |
Starting Page | 437 |
Ending Page | 442 |
File Size | 1575409 |
Page Count | 6 |
File Format | |
ISBN | 9781467348218 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-06-19 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | German Inst of Navigation |
Subject Keyword | Reflectivity Measurement TV Image resolution Radar imaging Synthetic aperture radar |
Content Type | Text |
Resource Type | Article |
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