Title :
Bayesian autofocus/super-resolution theory
Author :
Luttrell, Stephen P.
Author_Institution :
R. Signals & Radar Establ., Malvern, UK
Abstract :
The author derives an estimate-maximise (EM) formulation of a Bayesian super-resolution algorithm for reconstructing scattering cross sections from coherent images. He generalises this result to obtain an autofocus/super-resolution method, which simultaneously autofocusses an imaging system and super-resolves its image data. Autofocus/super-resolution might be applied to the interpretation of airborne synthetic aperture radar images that are subject to defocussing effects
Keywords :
Bayes methods; military systems; picture processing; probability; radar cross-sections; Bayesian autofocus/super-resolution theory; RCS; coherent images; estimate-maximise formulation; image data; imaging system; scattering cross sections reconstruction;
Conference_Titel :
Role of Image Processing in Defence and Military Electronics, IEE Colloquium on
Conference_Location :
London
