Advancing Hyperspectral Image Analysis with CTNet: An Approach with the Fusion of Spatial and Spectr...
Advancing Hyperspectral Image Analysis with CTNet: An Approach with the Fusion of Spatial and Spectral Features
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Hyperspectral image classification remains challenging despite its potential due to the high dimensionality of the data and its limited spatial resolution. To address the limited data samples and less spatial resolution issues, this research paper presents a two-scale module-based CTNet (convolutional transformer network) for the enhancement of spa...
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Full title
Advancing Hyperspectral Image Analysis with CTNet: An Approach with the Fusion of Spatial and Spectral Features
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TN_cdi_doaj_primary_oai_doaj_org_article_4188c20fd03749b987247ee4fd69a9d2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4188c20fd03749b987247ee4fd69a9d2
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24062016
