3D SAR Imaging Using a Hybrid Decomposition Super-Resolution Technique
March 2004
Walter S. Kuklinski, The MITRE Corporation
Andrea L. Kraaya, The MITRE Corporation
ABSTRACT
A technique to form super-resolved 3D Synthetic Aperture Radar (SAR)
images from a limited number of elevation passes is presented in this
paper. This technique models the environment as containing a finite
number of isotropically radiating, frequency independent point scatterers
in Additive White Gaussian Noise (AWGN), and applies a hybrid super-resolution
method that yields the Maximum Likelihood (ML) estimates of scatterer
strengths and resolves their locations in the data deficient dimension
well beyond the Fourier resolution limit.
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Additional Search Keywords
Super-Resolution, SAR, Maximum Likelihood
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