Improved U-Net Remote Sensing Classification Algorithm Based on Multi-Feature Fusion Perception
Improved U-Net Remote Sensing Classification Algorithm Based on Multi-Feature Fusion Perception
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The selection and representation of remote sensing image classification features play crucial roles in image classification accuracy. To effectively improve the classification accuracy of features, an improved U-Net network framework based on multi-feature fusion perception is proposed in this paper. This framework adds the channel attention module...
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Full title
Improved U-Net Remote Sensing Classification Algorithm Based on Multi-Feature Fusion Perception
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TN_cdi_doaj_primary_oai_doaj_org_article_7202f8f3d4d049e19a61b7ce146982ba
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7202f8f3d4d049e19a61b7ce146982ba
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14051118
