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28 July 1997 Feature extraction of SAR targets consisting of trihedral and dihedral corner reflectors
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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