Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery
Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Convolutional neural networks (CNNs) have achieved great progress in the classification of surface objects with hyperspectral data, but due to the limitations of convolutional operations, CNNs cannot effectively interact with contextual information. Transformer succeeds in solving this problem, and thus has been widely used to classify hyperspectra...
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Full title
Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery
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TN_cdi_doaj_primary_oai_doaj_org_article_6e432fc100a14871bbd32489389649e3
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6e432fc100a14871bbd32489389649e3
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15133366
