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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 HuynhIn 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.
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.
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Advances in computer vision and pattern recognitionPublisher
SpringerPlace of publication
London, Eng.Publisher DOI
ISSN
2191-6594ISBN-13
978-1-4471-4652-0Language
engPublication classification
A1.1 Books - authored - researchCopyright notice
2013, Springer-Verlag LondonNumber of chapters
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