NDLI: Maximum likelihood parameter estimation for G0 distribution via EM algorithm

Content Provider	IEEE Xplore Digital Library
Author	Xin Zhou Ju Jiang Congqing Wang
Copyright Year	2013
Description	Author affiliation: Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Xin Zhou; Ju Jiang; Congqing Wang)
Abstract	G0 distribution, a statistical model used for modeling SAR image data, has been widely used recently. Due to the complexity of G0 distribution, maximum likelihood estimator, which is statistically optimal, has not been used for the parameter estimation of G0 distribution. In this paper, a new derivation of G0 distribution is first given, based on which, a maximum likelihood parameter estimation method via expectation maximization algorithm is proposed for the G0 distribution. Experiments based on simulated SAR data have been conducted to examine the performance of the proposed algorithm as well as to compare with other parameter estimation methods, and the results show the advantages of the proposed method.
Starting Page	89
Ending Page	93
File Size	703137
Page Count	5
File Format	PDF
ISBN	9781467344258
e-ISBN	9781467344265
DOI	10.1109/IBCAST.2013.6512136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-15
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Level set Laboratories Clutter Method of moments
Content Type	Text
Resource Type	Article

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Maximum likelihood parameter estimation for G0 distribution via EM algorithm