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Imaging spectroscopy for scene analysis

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posted on 2013-01-01, 00:00 authored by Antonio Robles-KellyAntonio Robles-Kelly, Cong Phuoc Huynh
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.

History

ISSN

2191-6594

ISBN-13

978-1-4471-4652-0

Language

eng

Publication classification

A1.1 Books - authored - research

Copyright notice

2013, Springer-Verlag London

Number of chapters

11

Publisher

Springer

Place of publication

London, Eng.

Series

Advances in computer vision and pattern recognition

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