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.
Additional Search Keywords
Super-Resolution, SAR, Maximum Likelihood
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