Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)977-991
Number of pages15
JournalIEEE Transactions on Computational Imaging
Volume9
DOIs
StatePublished - 2023

ASJC Scopus Subject Areas

  • Signal Processing
  • Computer Science Applications
  • Computational Mathematics

Keywords

  • deep learning
  • disentanglement
  • Hyperspectral data
  • neural networks
  • spectral unmixing

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