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