A perturbed linear mixing model accounting for spectral variability - Université Toulouse 1 Capitole Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

A perturbed linear mixing model accounting for spectral variability

Résumé

Hyperspectral unmixing aims at determining the reference spectral signatures composing a hyperspectral image, their abundance fractions and their number. In practice, the spectral variability of the identified signatures induces significant abundance estimation errors. To address this issue, this paper introduces a new linear mixing model explicitly accounting for this phenomenon. In this setting, the extracted endmembers are interpreted as possibly corrupted versions of the true endmembers. The parameters of this model can be estimated using an optimization algorithm based on the alternating direction method of multipliers. The performance of the proposed unmixing method is evaluated on synthetic and real data.
Fichier principal
Vignette du fichier
thouvenin_15347.pdf (255.12 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01360872 , version 1 (06-09-2016)

Identifiants

  • HAL Id : hal-01360872 , version 1
  • OATAO : 15347

Citer

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret. A perturbed linear mixing model accounting for spectral variability. 23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 814-818. ⟨hal-01360872⟩
95 Consultations
71 Téléchargements

Partager

Gmail Facebook X LinkedIn More