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ZENODO
Dataset . 2021
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 . 2021
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 . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Claim

Pseudo-artificial images for the assessment of hyperspectral pattern spectrum

Research datakeyboard_double_arrow_right Dataset 12 Mar 2021 English Publisher:Zenodo
Authors: Deborah, Hilda;

doi: 10.5281/zenodo.4604417 , 10.5281/zenodo.3709776 , 10.5281/zenodo.3709777

Pseudo-artificial images for the assessment of hyperspectral pattern spectrum

Abstract

All pseudo-artificial images used in the article "MORPHOLOGICAL TEXTURE DESCRIPTION FOR HYPERSPECTRAL IMAGES: PATTERN SPECTRUM", presented at WHISPERS 2021. Please also read DataDescription.pdf for more details.

Research funded by the Research Council of Norway, under FRIPRO FRINATEK "Metrological texture analysis for hyperspectral images" (projectnr. 274881)

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Keywords

hyperspectral, texture, granulometry

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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