magyar

Machine Learning Techniques for Land Use/Land Cover Classification of Medium Resolution Optical Satellite Imagery Focusing on Temporary Inundated Areas

Van Leeuwen Boudewijn and Tobak Zalán and Kovács Ferenc: Machine Learning Techniques for Land Use/Land Cover Classification of Medium Resolution Optical Satellite Imagery Focusing on Temporary Inundated Areas.
JOURNAL OF ENVIRONMENTAL GEOGRAPHY, 13 (1-2). pp. 43-52. ISSN 2060-3274 (2020)

[thumbnail of 10_2478-Voulme13_Issue_1_2_paper_5_Leeuwenetal.pdf]
Preview
 Text
10_2478-Voulme13_Issue_1_2_paper_5_Leeuwenetal.pdf - Published Version
Download (2MB) | Preview
Creators:
Van Leeuwen Boudewijn MTMT
Tobak Zalán MTMT
Kovács Ferenc MTMT
Item Type: Journal Article
Journal or Publication Title: JOURNAL OF ENVIRONMENTAL GEOGRAPHY
Date: 2020
Volume: 13
Number: 1-2
Page Range: pp. 43-52
ISSN: 2060-3274
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 31334339
DOI azonosító: https://doi.org/10.2478/jengeo-2020-0005
Date Deposited: 2020. Jun. 17. 09:25
Last Modified: 2020. Jun. 17. 09:25
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/18958

Actions (login required)

View Item View Item
Download Statistics

Downloads

Downloads per month over past year

Technical information: publicatio AT ek.szte.hu
SZTE Repository of Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.