Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Accurate hyperspectral image classification has been an important yet challenging task for years. With the recent success of deep learning in various tasks, 2-dimensional (2D)/3-dimensional (3D) convolutional neural networks (CNNs) have been exploited to capture spectral or spatial information in hyperspectral images. On the other hand, few approac...
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Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification
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TN_cdi_doaj_primary_oai_doaj_org_article_b4f12be9c5324e5ea96c05518d4ea962
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b4f12be9c5324e5ea96c05518d4ea962
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs12122033
