Books > Computing & IT > Applications of computing > Image processing
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Imaging Spectroscopy for Scene Analysis (Paperback, 2013 ed.)
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Imaging Spectroscopy for Scene Analysis (Paperback, 2013 ed.)
Series: Advances in Computer Vision and Pattern Recognition
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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 from a single view.
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