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Titlebook: Imaging Spectroscopy for Scene Analysis; Antonio Robles-Kelly,Cong Phuoc Huynh Book 2013 Springer-Verlag London 2013 Computer Vision.Imagi

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书目名称Imaging Spectroscopy for Scene Analysis
编辑Antonio Robles-Kelly,Cong Phuoc Huynh
视频video
概述Presents a detailed analysis of spectral imaging for material identification, object recognition and scene understanding.Explores in depth the opportunities and challenges of combining spatial and spe
丛书名称Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Imaging Spectroscopy for Scene Analysis;  Antonio Robles-Kelly,Cong Phuoc Huynh Book 2013 Springer-Verlag London 2013 Computer Vision.Imagi
描述.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..
出版日期Book 2013
关键词Computer Vision; Imaging Spectroscopy; Pattern Recognition; Scene Analysis; Spectral Imaging
版次1
doihttps://doi.org/10.1007/978-1-4471-4652-0
isbn_softcover978-1-4471-5838-7
isbn_ebook978-1-4471-4652-0Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer-Verlag London 2013
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发表于 2025-3-21 20:13:51 | 显示全部楼层
978-1-4471-5838-7Springer-Verlag London 2013
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Antonio Robles-Kelly,Cong Phuoc HuynhPresents a detailed analysis of spectral imaging for material identification, object recognition and scene understanding.Explores in depth the opportunities and challenges of combining spatial and spe
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https://doi.org/10.1007/978-1-4471-4652-0Computer Vision; Imaging Spectroscopy; Pattern Recognition; Scene Analysis; Spectral Imaging
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Introduction,anding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability to robustly encode material properties, object composition and concentrations of primordial components in a scene. The combination of spatial and compositional information opens up a vast number
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