DocumentCode :
3499146
Title :
Aggregated convex regularization and variational analysis technique for enhancement of mm waveband remote sensing imagery
Author :
Shkvarko, Yuriy V. ; Tuxpan, José ; Santos, Steward R.
Author_Institution :
Unidad Guadalajara, CINVESTAV, Zapopan, Mexico
fYear :
2010
fDate :
21-26 June 2010
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, the statistical Bayesian and descriptive regularization approaches for high resolution radar image formation is detailed in many works, where such approach is adapted to the sm and mm waveband remote sensing (RS) applications considered.
Keywords :
millimetre waves; radar imaging; remote sensing; statistical analysis; variational techniques; aggregated convex regularization; mm waveband remote sensing; radar image formation; statistical Bayesian approach; variational analysis technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW), 2010 International Kharkov Symposium on
Conference_Location :
Kharkiv
Print_ISBN :
978-1-4244-7900-9
Type :
conf
DOI :
10.1109/MSMW.2010.5546008
Filename :
5546008
Link To Document :
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