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Proceedings Paper

Joint enhancement of multichannel SAR data
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Paper Abstract

In this paper we consider the problem of joint enhancement of multichannel Synthetic Aperture Radar (SAR) data. Previous work by Cetin and Karl introduced nonquadratic regularization methods for image enhancement using sparsity enforcing penalty terms. For multichannel data, independent enhancement of each channel is shown to degrade the relative phase information across channels that is useful for 3D reconstruction. We thus propose a method for joint enhancement of multichannel SAR data with joint sparsity constraints. We develop both a gradient-based and a Lagrange-Newton-based method for solving the joint reconstruction problem, and demonstrate the performance of the proposed methods on IFSAR height extraction problem from multi-elevation data.

Paper Details

Date Published: 7 May 2007
PDF: 9 pages
Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680B (7 May 2007); doi: 10.1117/12.723229
Show Author Affiliations
Naveen Ramakrishnan, The Ohio State Univ. (United States)
Emre Ertin, The Ohio State Univ. (United States)
Randolph L. Moses, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 6568:
Algorithms for Synthetic Aperture Radar Imagery XIV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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