DocumentCode :
2229063
Title :
Characterization of em sea clutter with α-stable distribution
Author :
Fiche, Anthony ; Cexus, Jean-Christophe ; Khenchaf, Ali ; Rochdi, Majid ; Martin, Arnaud
Author_Institution :
LabSticc, ENSTA-Bretagne, Brest, France
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6059
Lastpage :
6062
Abstract :
In this contribution, an accurate description of the ocean backscatter from a probability density function is proposed. The Elfouhaily spectrum has been used to generate a realistic sea surface. The scattering field will be computed by using the Physical Optics (PO). The K distribution has been already used to characterize the Radar Cross Section (RCS) of the sea surface. However, the probability density function of the RCS can have heavy tails. Consequently, we use the α-stable distributions which can take care the property of heavy tails. The probability density function is estimated with a least squared method. We finally compare the results obtained with each model by using the Kolmogorov-Smirnov test from several random surfaces and a statistical study is made by giving a boxplot of the estimated parameters of the α-stable distribution.
Keywords :
least squares approximations; oceanographic techniques; probability; EM sea clutter characterization; Elfouhaily spectrum; Kolmogorov-Smirnov test; alpha-stable distribution; boxplot parameter estimation; heavy tail property; least squared method; ocean backscatter; physical optics; probability density function; radar cross section; realistic sea surface; scattering field; Clutter; Ocean temperature; Optical surface waves; Probability density function; Radar cross section; Sea surface; Surface waves; Elfouhaily spectrum; Physicals Optics; RCS; a-stable distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352225
Filename :
6352225
Link To Document :
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