An iterative least squares approach to decorrelate minerals and ices contributions in hyperspectral images: Application to Cuprite (earth) and Mars - INSU - Institut national des sciences de l'Univers Access content directly
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An iterative least squares approach to decorrelate minerals and ices contributions in hyperspectral images: Application to Cuprite (earth) and Mars

J-Ph Combe
V. Sarago
  • Function : Author
N. Mangold
M. Masse
  • Function : Author
J-P Bibring
  • Function : Author
B. Gondet
  • Function : Author
Y. Langevin
  • Function : Author
C. Sotin
  • Function : Author
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insu-03578605 , version 1 (17-02-2022)

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Stéphane Le Mouélic, J-Ph Combe, V. Sarago, N. Mangold, M. Masse, et al.. An iterative least squares approach to decorrelate minerals and ices contributions in hyperspectral images: Application to Cuprite (earth) and Mars. 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Aug 2009, Grenoble, France. pp.1-4, ⟨10.1109/WHISPERS.2009.5289003⟩. ⟨insu-03578605⟩
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