Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Im...
Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Data in the form of images are now generated at an unprecedented rate. A case in point is remote sensing images (RSI), now available in large-scale RSI archives, which have attracted a considerable amount of research on image classification within the remote sensing community. The basic task of single-target multi-class image classification conside...
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Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images
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TN_cdi_doaj_primary_oai_doaj_org_article_6374a14d07514e8281727904c1e2ffcf
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6374a14d07514e8281727904c1e2ffcf
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15020538
