Feature extraction of SAR targets consisting of trihedral and dihedral corner reflectors

Zheng-She Liu; Jian Li

doi:10.1117/12.281546

28 July 1997 Feature extraction of SAR targets consisting of trihedral and dihedral corner reflectors

Zheng-She Liu, Jian Li

Proceedings Volume 3070, Algorithms for Synthetic Aperture Radar Imagery IV; (1997) https://doi.org/10.1117/12.281546
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

This paper studies feature extraction of targets consisting of both trihedral and dihedral corner reflectors via synthetic aperture radar. A mixed data model is introduced to describe the target features. The Cramer-Rao bounds (CRBs) for the parameter estimates of the data model are also derived. Two algorithms, the FFTB algorithm and the NLS algorithm, are devised to estimate the model parameters. Numerical examples show that the parameter estimates obtained with both algorithms reach the CRBs as the SNR increases. The parameter estimates obtained with the NLS algorithm start to achieve the CRB at a lower SNR than those with the FFTB algorithm, while the latter algorithm is computationally more efficient.

Citation Download Citation

Zheng-She Liu and Jian Li "Feature extraction of SAR targets consisting of trihedral and dihedral corner reflectors", Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); https://doi.org/10.1117/12.281546

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