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A new approach is addressed to perform antenna-based processing of radar imagery data aimed at reconstruction/enhancement of the images degraded by a spatially-shift-invariant radar spread function and contaminated with additive Gaussian noise. The fused maximum entropy-variational method is developed and computationally implemented using the modified Hopfield neural network. Enhanced zone detection and image denoising are achieved using the proposed approach.

Gaussian noise; Hopfield neural nets; geophysical signal processing; image denoising; image enhancement; image reconstruction; iterative methods; maximum entropy methods; radar antennas; radar imaging; remote sensing by radar