Identifying and interpretation of power-law distributions from spectral data of remote sensing

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Date:2018
Main Author: M. V. Artjushenko
Format: Article
Language:English
Published: 2018
Series:International Scientific Technical Journal «Problems of Control and Informatics»
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001246429
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author M. V. Artjushenko
author_facet M. V. Artjushenko
author_sort M. V. Artjushenko
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2018
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series International Scientific Technical Journal «Problems of Control and Informatics»
spelling open-sciencenbuvgovua-352062024-02-27T22:19:55Z Identifying and interpretation of power-law distributions from spectral data of remote sensing M. V. Artjushenko 2786-6491 2018 en International Scientific Technical Journal «Problems of Control and Informatics» http://jnas.nbuv.gov.ua/article/UJRN-0001246429 Article
spellingShingle International Scientific Technical Journal «Problems of Control and Informatics»
M. V. Artjushenko
Identifying and interpretation of power-law distributions from spectral data of remote sensing
title Identifying and interpretation of power-law distributions from spectral data of remote sensing
title_full Identifying and interpretation of power-law distributions from spectral data of remote sensing
title_fullStr Identifying and interpretation of power-law distributions from spectral data of remote sensing
title_full_unstemmed Identifying and interpretation of power-law distributions from spectral data of remote sensing
title_short Identifying and interpretation of power-law distributions from spectral data of remote sensing
title_sort identifying and interpretation of power-law distributions from spectral data of remote sensing
url http://jnas.nbuv.gov.ua/article/UJRN-0001246429
work_keys_str_mv AT mvartjushenko identifyingandinterpretationofpowerlawdistributionsfromspectraldataofremotesensing