SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification
SS-MLP: A Novel Spectral-Spatial MLP Architecture 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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Contents
Convolutional neural networks (CNNs) are the go-to model for hyperspectral image (HSI) classification because of the excellent locally contextual modeling ability that is beneficial to spatial and spectral feature extraction. However, CNNs with a limited receptive field pose challenges for modeling long-range dependencies. To solve this issue, we i...
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SS-MLP: A Novel Spectral-Spatial MLP Architecture for Hyperspectral Image Classification
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TN_cdi_doaj_primary_oai_doaj_org_article_973f9c4505a246a78d38d95e6562152e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_973f9c4505a246a78d38d95e6562152e
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13204060
