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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 th...
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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Molecular Diversity Preservation International (MDPI)
2008
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3663018/ https://ncbi.nlm.nih.gov/pubmed/27879787 |
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