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15 September 1998 Superresolution SAR image formation via parametric spectral estimation methods
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This paper considers super resolution synthetic aperture radar (SAR) image formation via sophisticated parametric spectral estimation algorithms. Parametric spectral estimation methods are devised based on parametric data models and are used to estimate the model parameters. Since SAR images rather than model parameters are often more appreciated in SAR applications, we use the parameter estimates obtained with the parametric methods to simulate data matrices of large dimensions and then use the fast Fourier transform (FFT) methods on them to generate SAR images with super resolution. Experimental examples using the MSTAR and ERIM data illustrate that robust spectral estimation algorithms can generate SAR images of higher resolution that the conventional FFT methods and enhance the dominant target features.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaoqiang Bi, Jian Li, and Zheng-She Liu "Superresolution SAR image formation via parametric spectral estimation methods", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998);


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