A Hybrid-Scale Feature Enhancement Network for Hyperspectral Image Classification
A Hybrid-Scale Feature Enhancement Network for Hyperspectral Image Classification
About this item
Full title
Author / Creator
Liu, Dongxu , Shao, Tao , Qi, Guanglin , Li, Meihui and Zhang, Jianlin
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Due to their devastating ability to extract features, convolutional neural network (CNN)-based approaches have achieved tremendous success in hyperspectral image (HSI) classification. However, previous works have been dedicated to constructing deeper or wider deep learning networks to obtain exceptional classification performance, but as the layers...
Alternative Titles
Full title
A Hybrid-Scale Feature Enhancement Network for Hyperspectral Image Classification
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ed964217003a44b7a7e131a34f3bb97f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed964217003a44b7a7e131a34f3bb97f
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16010022
