A Deep Feature Fusion Method for Complex Ground Object Classification in the Land Cover Ecosystem Us...
A Deep Feature Fusion Method for Complex Ground Object Classification in the Land Cover Ecosystem Using ZY1-02D and Sentinel-1A
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Despite the successful application of multimodal deep learning (MDL) methods for land use/land cover (LULC) classification tasks, their fusion capacity has not yet been substantially examined for hyperspectral and synthetic aperture radar (SAR) data. Hyperspectral and SAR data have recently been widely used in land cover classification. However, th...
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A Deep Feature Fusion Method for Complex Ground Object Classification in the Land Cover Ecosystem Using ZY1-02D and Sentinel-1A
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TN_cdi_doaj_primary_oai_doaj_org_article_25e19c9dadc54183b4dbcc2419e07337
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_25e19c9dadc54183b4dbcc2419e07337
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ISSN
2073-445X
E-ISSN
2073-445X
DOI
10.3390/land12051022
