Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product

Literals

• ou:urlScopus
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85140355382&origin=inward
• fabio:hasPublicationYear
  • 2022
• bibo:doi
  • 10.1109/igarss46834.2022.9883028
• ou:eid
  • 2-s2.0-85140355382
• dcterms:creator
  • Paoletti M.E.
• dcterms:contributor
  • Paoletti M.E.; Tao X.; Han L.; Wu Z.; Moreno-Alvarez S.; Haut J.M.
• vivo:identifier
  • 2022-249
• bibo:isbn
  • 9781665427920
• bibo:page_range
  • 1380-1383
• dcterms:publisher
  • International Geoscience and Remote Sensing Symposium (IGARSS)
• ou:tipoPublicacion
  • Conference Paper
• dcterms:title
  • Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product
• vcard:url
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85140355382&origin=inward
• ou:urlOrcid
  • https://publons.com/wos-op/publon/60113325/
• ou:vecesCitado
  • 1
• bibo:volume
  • 2022-July

Typed Literals

• dcterms:created
  • 2022-01-01T00:00:00 (xsd:dateTime)

Inverse Relations

• Has related: ou:tienePublicacion
  • JUAN MARIO HAUT HURTADO
  • MERCEDES EUGENIA PAOLETTI ÁVILA
  • SERGIO MORENO ÁLVAREZ