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Hyperspectral database of fruits and vegetables - RAW data

Authors: Ennis, Robert; Schiller, Florian; Toscani, Matteo; Gegenfurtner, Karl;

Hyperspectral database of fruits and vegetables - RAW data

Abstract

This contains the RAW sensor data from our Specim VNIR HS-CL-30-V8E-OEM mirror-scanning hyperspectral camera for Giessen's hyperspectral images of fruits and vegetables database. This is only here for preservation. You are highly advised to use the calibrated data found in the accompanying Zenodo repository: https://doi.org/10.5281/zenodo.1186648 Note that if you are on Windows and want to decompress these files, then 7zip should work fine (https://www.7-zip.org/). For more complete details, you are advised to check the official webpage for the database and to read the journal article. The database can be found at: http://www.allpsych.uni-giessen.de/GHIFVD (pronounced “gift”) The journal article that accompanies this repository is published in JOSA A: Ennis R., Schiller F., Toscani M., Gegenfurtner, K. (2018) "Hyperspectral database of fruits and vegetables", JOSA A, Vol. 35, No. 4., pp. B256-B266 and can be found here: https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-35-4-B256

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Keywords

vegetables, vision, hyperspectral, fruits, database, color

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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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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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