Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm

Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm

A valid unsupervised and multiscale segmentation of synthetic aperture radar(SAR) imagery is proposed by a combination GA-EM of the Expectation Maximization(EM) algorith with the genetic algorithm (GA). The mixture multiscale autoregressive(MMAR) model is introduced to characterize and exploit the s...

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Bibliographic Details
Main Authors: Ze-Tao Jiang, Hua Zhang, Xian-Bin Wen
Format: Article
Language:English
Published: MDPI AG 2008-03-01
Series:Sensors
Subjects:
SAR Image
Unsupervised Segmentation
Multiscale
Genetic Algorithms.
Online Access:http://www.mdpi.com/1424-8220/8/3/1704/

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