NDLI: Leaf marker spectra identification by hyperspectral image acquisition and vertex component analysis

Content Provider	IEEE Xplore Digital Library
Author	Marot, J. Bourennane, S.
Copyright Year	2013
Description	Author affiliation: Inst. Fresnel/GSM, Aix Marseille Univ. D. U. de St.-Jerome, Marseille, France (Marot, J.; Bourennane, S.)
Abstract	To monitor biological systems, aside destructive testing which have been developed in chemistry and chromatography, hyperspectral image acquisition and processing exhibit the great advantage of being non-destructive. In this paper, a hyperspectral image acquisition setup is proposed, to get detailed information on the reflectance of leaves. We aim at giving information about the repartition of pigments on a leaf, by proposing a hyperspectral image acquisition setup, and adapting an algebraic method, vertex component analysis, which selects, among a set of input spectra, the marker spectra which best yield all input spectra by linear combination. A matrix inversion yields the contribution of the marker spectra for any spectrum. We acquired the image of leaves and estimated pigment concentrations with the help of a reflectance index.
Starting Page	190
Ending Page	195
File Size	878485
Page Count	6
File Format	PDF
ISBN	9788293269137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-10
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	University Paris 13
Subject Keyword	Vegetation mapping Linear algebra Pigments Cameras Feature extraction Vectors Indexes Remote sensing Hyperspectral imaging Spectrum
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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