An Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images
An Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Band selection (BS) is an efficacious approach to reduce hyperspectral information redundancy while preserving the physical meaning of hyperspectral images (HSIs). Recently, deep learning-based BS methods have received widespread interest due to their ability to model the nonlinear relationship between bands, with existing methods typically relying...
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Full title
An Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_90214972245149cb83b6bf04327ae7b1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90214972245149cb83b6bf04327ae7b1
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15235495
