Imaging Spectroscopy for Scene Analysis (Advances in Computer Vision and Pattern Recognition) - Hardcover

Robles-Kelly, Antonio; Huynh, Cong Phuoc

Hardcover

ISBN 10: 1447146514 ISBN 13: 9781447146513

Publisher: Springer, 2012

Synopsis

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 froma single view.

About this title

About the Author

Dr. Antonio Robles-Kelly is a Principal Researcher at NICTA, where he leads the Spectral Imaging project. He is also an Adjunct Associate Professor at the Australian National University and Conjoint Senior Lecturer at the University of New South Wales, Australia.

Dr. Cong Phuoc Huynh is a Researcher at NICTA, and an Adjunct Research Fellow at the Australian National University, Australia.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2012
• Language: English
• ISBN 10: 1447146514
• ISBN 13: 9781447146513
• Binding: Hardcover
• Number of pages: 288