Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimiza...
Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach
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Basel: MDPI AG
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English
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Basel: MDPI AG
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This paper proposes the optimization relaxation approach based on the analogue Hopfield Neural Network (HNN) for cluster refinement of pre-classified Polarimetric Synthetic Aperture Radar (PolSAR) image data. We consider the initial classification provided by the maximum-likelihood classifier based on the complex Wishart distribution, which is then...
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Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach
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TN_cdi_doaj_primary_oai_doaj_org_article_1e9b36337dc54c768fbdcbe5b8b0f991
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1e9b36337dc54c768fbdcbe5b8b0f991
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs4113571
