DocumentCode
279939
Title
Bayesian autofocus/super-resolution theory
Author
Luttrell, Stephen P.
Author_Institution
R. Signals & Radar Establ., Malvern, UK
fYear
1990
fDate
32972
Firstpage
42370
Lastpage
42375
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;
fLanguage
English
Publisher
iet
Conference_Titel
Role of Image Processing in Defence and Military Electronics, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
190031
Link To Document