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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,...

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Bibliographic Details
Main Author: Manolakis, Dimitris G.
Other Authors: Lockwood, Ronald B., Cooley, Thomas W.
Format: Printed Book
Published: Cambridge Cambridge University Press 2016
Subjects:
Online Access: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 of Contents:
  • 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