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Computer Science - Image Processing | Imaging Spectroscopy for Scene Analysis

Imaging Spectroscopy for Scene Analysis

Robles-Kelly, Antonio, Huynh, Cong Phuoc

2013, XVIII, 270 p.

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  • Presents a detailed analysis of spectral imaging for material identification, object recognition and scene understanding
  • Explores in depth the opportunities and challenges of combining spatial and spectral information
  • Reviews a wide range of applications, from surveillance and computational photography to biosecurity and resource exploration

In contrast with trichromatic image sensors, imaging spectroscopy can capture the properties of the materials in a scene. This implies that scene analysis using imaging spectroscopy has the capacity to robustly encode material signatures, infer object composition and recover photometric parameters.

This landmark text/reference presents a detailed analysis of spectral imaging, describing how it can be used in elegant and efficient ways 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 from surveillance and computational photography, to biosecurity and resource exploration.

Topics and 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

An essential resource for researchers and graduate students of computer vision and pattern recognition, this comprehensive introduction to imaging spectroscopy for scene analysis will also be of great use to practitioners interested in shape analysis employing polarimetric imaging, and material recognition and classification using hyperspectral or multispectral data.

Content Level » Research

Keywords » Computer Vision - Imaging Spectroscopy - Pattern Recognition - Scene Analysis - Spectral Imaging

Related subjects » Image Processing

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