Image processing and data analysis: the multiscale approach
Image processing and data analysis: the multiscale approach
Radar Systems Analysis and Design Using MATLAB
Radar Systems Analysis and Design Using MATLAB
IEEE Transactions on Signal Processing
Theoretical aspects of radar imaging using stochastic waveforms
IEEE Transactions on Signal Processing
General choice of the regularization functional in regularized image restoration
IEEE Transactions on Image Processing
Regularized constrained total least squares image restoration
IEEE Transactions on Image Processing
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We address a new efficient robust optimisation approach to large-scale environmental image reconstruction/enhancement as required for remote sensing imaging with multi-spectral array sensors/SAR. First, the problem-oriented robustification of the previously proposed Fused Bayesian-Regularization (FBR) enhanced imaging method is performed to alleviate its ill-poseness due to system-level and model-model uncertainties. Second, the modification of the Hopfield-type Maximum Entropy Neural Network (MENN) is proposed that enables such MENN to perform numerically the robustified FBR technique via computationally efficient iterative scheme. The efficiency of the aggregated robust regularised MENN technique is verified through simulation studies of enhancement of the real-world environmental images.