Remote Sensing Signature Fields Reconstruction via Robust Regularization of Bayesian Minimum Risk Technique
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Date
2007Author
Shkvarko, Yuriy
Villalón-Turrubiates, Iván E.
Leyva-Montiel, José L.
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The robust numerical technique for high-resolution reconstructive imaging and scene analysis is developed as required for enhanced remote sensing with large scale sensor array radar/synthetic aperture radar. The problem- oriented modification of the previously proposed fused Bayesian-regularization (FBR) enhanced radar imaging method is performed to enable it to reconstruct remote sensing signatures (RSS) of interest alleviating problem ill- poseness due to system-level and model-level uncertainties. We report some simulation results of hydrological RSS reconstruction from enhanced real-world environmental images indicative of the efficiency of the developed method.Cinvestav