Apress Android Sale

Imaging Spectroscopy for Scene Analysis

By Antonio Robles-Kelly , Cong Phuoc Huynh

  • eBook Price: $99.00
Buy eBook Buy Print Book

Imaging Spectroscopy for Scene Analysis Cover Image

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

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

Related Titles

  • Information Systems and Neuroscience
  • BPM - Driving Innovation in a Digital World
  • Data-Driven Process Discovery and Analysis
  • Physical Asset Management
  • Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII
  • UML @ Classroom
  • AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing
  • Computational Color Imaging
  • Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
  • Non-Linear Finite Element Analysis in Structural Mechanics
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.

Please Login to submit errata.

No errata are currently published


    1. Pro SQL Server Internals


      View Details

    2. Beginning 3D Game Development with Unity 4


      View Details

    3. Beginning iPhone Development with Swift


      View Details

    4. Financial Modeling for Business Owners and Entrepreneurs


      View Details