DocumentCode :
3203641
Title :
A comparison of phase retrieval algorithms with a remote sensing scenario
Author :
Dixon, D. Brian
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Techology, Wright-Patterson AFB, OH
fYear :
2009
fDate :
7-14 March 2009
Firstpage :
1
Lastpage :
7
Abstract :
Three iterative algorithms for phase retrieval from intensity data are compared. Computer simulation provides the basis for comparing each algorithm´s performance for object recovery from noisy autocorrelations corrupted with exponential statistics. This paper justifies the use of exponential statistics with a simplified model of a remote sensing application.
Keywords :
atmospheric techniques; atmospheric turbulence; geophysics computing; maximum likelihood estimation; remote sensing; Fienups Error Reduction method; Gerchberg-Saxton phase retrieval algorithm; atmospheric turbulence; computer simulation; maximum likelihood method; remote sensing application; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace conference, 2009 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-2621-8
Electronic_ISBN :
978-1-4244-2622-5
Type :
conf
DOI :
10.1109/AERO.2009.4839452
Filename :
4839452
Link To Document :
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