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Proceedings Paper

Robust semiparametric method for feature extraction and SAR image formation of targets consisting of trihedrals and dihedrals
Author(s): Jian Li; Renbiao Wu; Zhaoqiang Bi; Peter Stoica; Edmund G. Zelnio
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Paper Abstract

A robust semi-parametric algorithm, referred to as SPAR (Semi- PARametric), is presented for feature extraction and complex image formation of targets consisting of both trihedrals and dihedrals via synthetic aperture radar (SAR). The algorithm is based on a flexible data model that models each target scatterer as a two-dimensional complex sinusoid with arbitrary unknown amplitude and constant phase in cross-range and with constant amplitude and phase in range. The proposed algorithm can be used to effectively mitigate the artifacts in the SAR images due to the flexible data model by attempting to deal with one corner reflector, such as one dihedral or trihedral, at a time. Another advantage of SPAR is that it can be used to obtain initial conditions needed by other parametric target feature extraction methods to reduce the total amount of computations needed. Both numerical and experimental examples are provided to demonstrate the performance of the proposed algorithm.

Paper Details

Date Published: 13 August 1999
PDF: 12 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357627
Show Author Affiliations
Jian Li, Univ. of Florida (United States)
Renbiao Wu, Univ. of Florida (United States)
Zhaoqiang Bi, Univ. of Florida (United States)
Peter Stoica, Uppsala Univ. (Sweden)
Edmund G. Zelnio, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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