Imaging Spectroscopy for Scene Analysis

By Antonio Robles-Kelly , Cong Phuoc Huynh

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This book presents a detailed analysis of spectral imaging, describing how it can be used in material identification, object recognition and scene understanding. It reviews a range of applications, from computational photography to biosecurity.

Full Description

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  • ISBN13: 978-1-4471-4651-3
  • 288 Pages
  • User Level: Science
  • Publication Date: October 30, 2012
  • Available eBook Formats: PDF

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Full Description
This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery; describes spectrum representations for the interpolation of reflectance and radiance values, and the classification of spectra; reviews the use of imaging spectroscopy for material identification; explores the recovery of reflection geometry from image reflectance; investigates spectro-polarimetric imagery, and the recovery of object shape and material properties using polarimetric images captured from a single view.
Table of Contents

Table of Contents

  1. Introduction.
  2. Spectral Image Acquisition.
  3. Spectral Image Formation Process.
  4. Reflectance Modelling.
  5. Illuminant Power Spectrum.
  6. Photometric Invariance.
  7. Spectrum Representation.
  8. Material Discovery.
  9. Reflection Geometry.
  10. Polarisation of Light.
  11. Shape and Refractive Index from Polarisation.
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