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Constrained reflect-then-combine methods for unmixing hyperspectral data

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  • معلومة اضافية
    • Contributors:
      Laboratoire Modélisation et Sûreté des Systèmes (LM2S); Institut Charles Delaunay (ICD); Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS); Joseph Louis LAGRANGE (LAGRANGE); Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur; Université Côte d'Azur (UniCA)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS); Université Nice Sophia Antipolis - Faculté des Sciences (UNS UFR Sciences); Université Nice Sophia Antipolis (1965 - 2019) (UNS); ANR-12-BS03-0003,HYPANEMA,Algorithmes de démélange non linéaire pour l'analyse de données hyperspectrales(2012)
    • بيانات النشر:
      CCSD
    • الموضوع:
      2013
    • Collection:
      HAL Université Côte d'Azur
    • الموضوع:
    • نبذة مختصرة :
      International audience ; This paper deals with the linear unmixing problem in hyperspectral data processing, and in particular the estimation of the fractional abundances under sum-to-one and non-negativity constraints. For this purpose, we propose to adapt the reflect-then-combine iterative technique, initially derived by Cimmino. Several strategies are studied in order to handle the constraints, and experimental results are analyzed.
    • الرقم المعرف:
      10.1109/WHISPERS.2013.8080643
    • الدخول الالكتروني :
      https://hal.science/hal-01966005
      https://hal.science/hal-01966005v1/document
      https://hal.science/hal-01966005v1/file/13.whispers.cimmino.pdf
      https://doi.org/10.1109/WHISPERS.2013.8080643
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.5944F554