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Real-Time Reconstruction Of Remote Sensing Imagery: Aggregation Of Robust Regularization With Neural Computing, Yuriy V. Shkvarko, Ivan E. Villalon-Turrubiates

Iván Esteban Villalón Turrubiates

The robustified numerical technique for real-time sensor array reconstructive image processing is developed as required for remote sensing imaging with large scale array/synthesized array radars. The addressed technique is designed via performing the regularized robustification of the fused Bayesian-regularization imaging method aggregated with the efficient real-time numerical implementation scheme that employs the neural network computing.