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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Claim

A collection of spectral descriptors for the detection of five polymer types

Research datakeyboard_double_arrow_right Dataset 26 Aug 2019Publisher:Zenodo
Authors: Hufnagl, Benedikt; Lohninger, Hans;

doi: 10.5281/zenodo.3377095 , 10.5281/zenodo.3377094

A collection of spectral descriptors for the detection of five polymer types

Abstract

This set of spectral descriptors was designed for the purpose of detecting the polymers polyethylene (PE), polypropylene (PP), polystyrene (PS), polyacrylonitrile (PAN) and poly(methyl methacrylate) (PMMA). The descriptors can be applied to hyperspectral image datasets using the software tool Epina ImageLab.

Related Organizations
Keywords

spectral descriptors, hyperspectral imaging, unsupervised learning, dimensionality reduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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