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Hyperspectral imaging remote sensing : physics, sensors, and algorithms /

"A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques,...

Description complète

Détails bibliographiques
Auteur principal: Manolakis, Dimitris G.
Autres auteurs: Lockwood, Ronald B., Cooley, Thomas W.
Format: Printed Book
Publié: Cambridge Cambridge University Press 2016
Sujets:
Accès en ligne:https://www.loc.gov/catdir/enhancements/fy1618/2016025909-b.html
https://www.loc.gov/catdir/enhancements/fy1618/2016025909-d.html
https://www.loc.gov/catdir/enhancements/fy1618/2016025909-t.html
Table des matières:
  • The remote sensing environment
  • Spectral properties of materials
  • Imaging spectrometers
  • Imaging spectrometer characterization and data calibration
  • Radiative transfer and atmospheric compensation
  • Statistical models for spectral data
  • Linear spectral transformations
  • Spectral mixture analysis
  • Signal detection theory
  • Hyperspectral data exploitation