DocumentCode :
332675
Title :
High resolution radar imaging systems with robust image restoration
Author :
Voloshynovskiy, Sviatoslav ; Grytskiv, Zenon ; Allen, Alastair
Author_Institution :
Fac. of Radio Eng., L´´vov State Univ., Ukraine
Volume :
3
fYear :
1998
fDate :
20-22 May 1998
Firstpage :
876
Abstract :
The paper presents a robust approach to image restoration that combines the properties of classical regularized iterative algorithms and robust features based on the concept of M-estimators. The approach takes into consideration the peculiarities of radar image formation to provide optimal noise removal and image restoration including suppression of ringing, and preservation of edges and fine details
Keywords :
estimation theory; filtering theory; image restoration; iterative methods; radar imaging; radar resolution; M-estimators; high resolution radar imaging systems; optimal noise removal; regularized iterative algorithms; ringing suppression; robust image restoration; Antenna measurements; Apertures; Degradation; Gaussian noise; Image resolution; Image restoration; Noise measurement; Noise robustness; Radar imaging; Radar remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves and Radar, 1998. MIKON '98., 12th International Conference on
Conference_Location :
Krakow
Print_ISBN :
83-906662-0-0
Type :
conf
DOI :
10.1109/MIKON.1998.742845
Filename :
742845
Link To Document :
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