Iterative Regularization Using an Acceleration Technique for Synthetic Aperture Interferometric Radiometer

The inverse problem of synthetic aperture interferometric radiometers (SAIRs) aims at retrieving the brightness temperature map from visibility function samples. To efficiently obtain an accurate solution, accelerated iterative regularization technique is proposed to reconstruct SAIR map. acceleration modifies conventional least square using a negative penalty term speed up initial iterations. A series decreasing coefficients must be tuned prevent noise amplification in subsequent Several numerical experiments were performed on one-dimensional (1-D) and (2-D) systems. experiment results indicate that Landweber method reduces number iteration steps by more than 50% effectively improves computational without reducing reconstruction accuracy compared method.