SegX-Net: A novel image segmentation approach for contrail detection using deep learning
SegX-Net: A novel image segmentation approach for contrail detection using deep learning
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Contrails are line-shaped clouds formed in the exhaust of aircraft engines that significantly contribute to global warming. This paper confidently proposes integrating advanced image segmentation techniques to identify and monitor aircraft contrails to address the challenges associated with climate change. We propose the SegX-Net architecture, a hi...
Alternative Titles
Full title
SegX-Net: A novel image segmentation approach for contrail detection using deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_9610634ad553465dbc528ad91d38a9ef
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9610634ad553465dbc528ad91d38a9ef
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0298160
