Estimating the parameters of the generalized KA distribution by applying the expectation maximization algorithm-Reference-Cited by-同舟云学术

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Estimating the parameters of the generalized KA distribution by applying the expectation maximization algorithm

Published:2019-02-20 Issue:01 Volume:13 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Melesanaki Theonymphi M.¹,Vardiambasis Ioannis O.¹,Ioannidou Melina P.²,Kokkinos Evangelos A.¹,Maras Andreas M.³

Affiliation:

1. Technological Educational Institute of Crete, Department of Electronic Engineering, Chania

2. Alexander Technological Educational Institute of Thessaloniki, Department of Electronic Engineering,

3. University of Peloponnese, Department of Informatics and Telecommunications, Tripoli

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference20 articles.

1. Maximum likelihood estimation of K distribution parameters for SAR data

2. Comparison of parameter estimators for K-distribution

3. A method for estimating the parameters of the K distribution

4. Maximum likelihood estimation of K-distribution parameters via the expectation-maximization algorithm

5. Recursive K-distribution parameter estimation

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