Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number8909372
Pages (from-to)1833-1842
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume58
Issue number3
DOIs
StatePublished - Mar 2020

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences

Keywords

  • Endmember (EM) variability
  • hyperspectral data
  • low rank
  • tensor decomposition
  • ULTRA accounting for EM variability (ULTRA-V)
  • unmixing with low-rank tensor regularization algorithm (ULTRA)

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