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Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

Farmonov Nizom and Amankulova Khilola and Szatmári József and Sharifi Alireza and Abbasi-Moghadam Dariush and Mirhoseini Nejad Seyed Mahdi and Mucsi László: Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 16. pp. 1576-1588. ISSN 1939-1404 (2023)

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Creators:
Farmonov Nizom MTMT
Amankulova Khilola MTMT
Szatmári József MTMT
Sharifi Alireza
Abbasi-Moghadam Dariush
Mirhoseini Nejad Seyed Mahdi
Mucsi László MTMT
Item Type: Journal Article
Journal or Publication Title: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Date: 2023
Volume: 16
Page Range: pp. 1576-1588
ISSN: 1939-1404
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 33630993
DOI azonosító: https://doi.org/10.1109/JSTARS.2023.3239756
Date Deposited: 2023. Feb. 15. 10:57
Last Modified: 2023. Feb. 15. 10:57
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/26503
Web of Science® Times Cited: 84 View citing articles in Web of Science®

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