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The unified descriptive experiment design regularization (DEDR) method from a companion paper provides a rigorous theoretical formalism for robust estimation of the power spatial spectrum pattern of the wavefield scattered from an extended scene observed in the uncertain remote sensing (RS) environment. For the considered here imaging synthetic aperture radar (SAR) application, the proposed DEDR approach...
In this paper, a performance study of a methodology for reconstruction of high-resolution remote sensing imagery is presented. This method is the robust version of the Bayesian regularization (BR) technique, which performs the image reconstruction as a solution of the ill-conditioned inverse spatial spectrum pattern (SSP) estimation problem with model uncertainties via unifying the Bayesian minimum...
A new approach to optimization of the signal processing techniques for enhanced imaging with remote sensing (RS) data based on the concept of descriptive experiment design regularization (DEDR) is addressed. The RS imaging problem is treated as a nonlinear statistical inverse problem of reconstructing the spatial spectrum pattern (SSP) of the wavefield sources distributed in the environment via processing...
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