DocumentCode
3500325
Title
Comparative analysis of regression line fitting algorithms in blind method of mixed noise variance evaluation in radar images
Author
Zabrodina, V.V. ; Abramov, S.K. ; Abramov, K.D.
Author_Institution
Nat. Aerosp. Univ., Kharkiv, Ukraine
fYear
2010
fDate
21-26 June 2010
Firstpage
1
Lastpage
1
Abstract
Radar images obtained by remote sensing systems as a rule are corrupted by mixed additive and multiplicative noise. To carry out high-efficiency filtering, the information about noise statistics in these images is required. However, in many practical situations such information is a priori unknown. Therefore methods able to evaluate variances simultaneously for both noise components are necessary.
Keywords
filtering theory; noise; radar imaging; regression analysis; remote sensing by radar; additive noise; blind method; comparative analysis; high-efficiency filtering; mixed noise variance evaluation; multiplicative noise; noise components; noise statistics; radar images; regression line fitting algorithms; remote sensing systems;
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.2010.5546066
Filename
5546066
Link To Document