Attention 3D central difference convolutional dense network for hyperspectral image classification
Attention 3D central difference convolutional dense network for hyperspectral image classification
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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
Hyperspectral Images (HSI) classification is a challenging task due to a large number of spatial-spectral bands of images with high inter-similarity, extra variability classes, and complex region relationships, including overlapping and nested regions. Classification becomes a complex problem in remote sensing images like HSIs. Convolutional Neural...
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Full title
Attention 3D central difference convolutional dense network for hyperspectral image classification
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TN_cdi_doaj_primary_oai_doaj_org_article_c94914f3382c43989c1851b90074d03d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c94914f3382c43989c1851b90074d03d
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0300013
