Learning Disentangled Priors for Hyperspectral Anomaly Detection: A Coupling Model-Driven and Data-Driven Paradigm

Literals

• fabio:hasPublicationYear
  • 2025
• ou:tipoPublicacion
  • Article
• dcterms:creator
  • Li C.
• dcterms:contributor
  • Li C.; Zhang B.; Hong D.; Jia X.; Plaza A.; Chanussot J.
• ou:eid
  • 2-s2.0-105002337848
• bibo:page_range
  • 6883-6896
• bibo:doi
  • 10.1109/tnnls.2024.3401589
• bibo:issn
  • 2162-237X
• bibo:eissn
  • 2162-2388
• dcterms:publisher
  • IEEE Transactions on Neural Networks and Learning Systems
• vivo:identifier
  • 2025-1220
• dcterms:title
  • Learning Disentangled Priors for Hyperspectral Anomaly Detection: A Coupling Model-Driven and Data-Driven Paradigm
• vcard:url
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105002337848&origin=inward
• ou:urlOrcid
  • https://doi.org/10.1109/TNNLS.2024.3401589
• ou:urlScopus
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105002337848&origin=inward
• bibo:volume
  • 36

Typed Literals

• dcterms:created
  • 2025-01-01T00:00:00 (xsd:dateTime)
• ou:vecesCitado
  • 59 (xsd:integer)

Relations

• ou:publicadaEnRevista
  • IEEE Transactions on Neural Networks and Learning Systems

Inverse Relations

• Has related: ou:tienePublicacion
  • ANTONIO PLAZA MIGUEL