Analysis of Minute Features in Speckled Imagery with Maximum Likelihood Estimation

Analysis of Minute Features in Speckled Imagery with Maximum Likelihood Estimation

<p/> <p>This paper deals with numerical problems arising when performing maximum likelihood parameter estimation in speckled imagery using small samples. The noise that appears in images obtained with coherent illumination, as is the case of sonar, laser, ultrasound-B, and synthetic aper...

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Bibliographic Details
Main Authors: Cribari-Neto Francisco, de Souza Marcelo O, Frery Alejandro C
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
image analysis
inference
likelihood
computation
optimization
Online Access:http://dx.doi.org/10.1155/S111086570440907X

Internet

http://dx.doi.org/10.1155/S111086570440907X

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