Improving Image Clustering through Sample Ranking and Its Application to Remote Sensing Images
Improving Image Clustering through Sample Ranking and Its Application to Remote Sensing Images
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Image clustering is a very useful technique that is widely applied to various areas, including remote sensing. Recently, visual representations by self-supervised learning have greatly improved the performance of image clustering. To further improve the well-trained clustering models, this paper proposes a novel method by first ranking samples with...
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Full title
Improving Image Clustering through Sample Ranking and Its Application to Remote Sensing Images
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TN_cdi_doaj_primary_oai_doaj_org_article_20491debfedc4f39a8b8b1af5987d399
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20491debfedc4f39a8b8b1af5987d399
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14143317
