A technique to form super-resolved 3D Synthetic Aperture Radar (SAR) images from a limited number of elevation passes is presented in this paper.
3D SAR Imaging Using a Hybrid Decomposition Super-Resolution Technique
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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.