DocumentCode
1847738
Title
Fast estimation of multilook K-distribution parameters via the least-squares nonlinear curve-fitting
Author
Jian Yang ; Qiang Zhou ; Chang-wen Qu ; Hai-ping Hou
Author_Institution
Dept. of Electron. & Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Volume
2
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
856
Lastpage
860
Abstract
In this paper the author propose a fast and efficient algorithm for multilook K-distribution parameter estimation. It is base on the approximate inverse function of log(ν) - ψ(ν), which is calculated by the least squares nonlinear curve fitting technique. Numerical experiments demonstrate the efficiency and accuracy of this new algorithm.
Keywords
curve fitting; least squares approximations; parameter estimation; approximate inverse function; least-squares nonlinear curve-fitting; multilook K-distribution; parameter estimation; K-distribution; least squares; nonlinear curve fitting; parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491715
Filename
6491715
Link To Document