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@INPROCEEDINGS{Buffat:1033761,
      author       = {Buffat, Jim and Pato, Miguel and Alonso, Kevin and Auer,
                      Stefan and Carmona, Emiliano and Maier, Stefan and Müller,
                      Rupert and Rademske, Patrick and Rascher, Uwe and Scharr,
                      Hanno},
      title        = {{D}eep {L}earning {B}ased {P}rediction of {S}un-{I}nduced
                      {F}luorescence from {H}y{P}lant {I}magery},
      school       = {University of Bonn},
      reportid     = {FZJ-2024-06602},
      year         = {2024},
      note         = {Poster presented as part of the Nectar Track},
      abstract     = {The retrieval of sun-induced fluorescence (SIF) from
                      hyperspectral imagery is an ill-posed problem that has been
                      tackled in different ways. We present a novel retrieval
                      method combining semi-supervised deep learning with an
                      existing spectral fitting method. A validation study with
                      in-situ SIF measurements shows high sensitivity of the deep
                      learning method to SIF changes even though systematic shifts
                      deteriorate its absolute prediction accuracy. A detailed
                      analysis of diurnal SIF dynamics and SIF prediction in
                      topographically variable terrain highlights the benefits of
                      this deep learning approach.},
      month         = {Sep},
      date          = {2024-09-10},
      organization  = {German Conference on Pattern
                       Recognition 2024, Munich (Germany), 10
                       Sep 2024 - 13 Sep 2024},
      subtyp        = {After Call},
      cin          = {IAS-8 / IBG-2},
      cid          = {I:(DE-Juel1)IAS-8-20210421 / I:(DE-Juel1)IBG-2-20101118},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / 2173 - Agro-biogeosystems:
                      controls, feedbacks and impact (POF4-217)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2024-06602},
      url          = {https://juser.fz-juelich.de/record/1033761},
}