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eNauka >  Results >  Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images
Title: Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images
Authors: Drobnjak, Sinisa  ; Stojanovic, Marko  ; Djordjevic, Dejan  ; Bakrac, Sasa  ; Jovanovic, Jasmina  ; Djordjevic, Aleksandar  
Issue Date: 2022
Publication: Frontiers in Environmental Science
ISSN: 2296-665X Frontiers in Environmental Science Search Idenfier
Type: Article
Collation: vol. 10
DOI: 10.3389/FENVS.2022.896158
WoS-ID: 000807865000001
Scopus-ID: 2-s2.0-85131890435
URI: https://gery.gef.bg.ac.rs/handle/123456789/1415
http://gery.gef.bg.ac.rs/handle/123456789/1415
https://enauka.gov.rs/handle/123456789/775477
Project: Possibilities of automatic extraction of vegetation data by a combination of satellite and aerial photogrammetric images, project no. 1.1.107/2018 by the Ministry of Defense of the Republic of Serbia
Model for using MGI digital topographic maps in field conditions with portable devices, project no. 1.21/2021 by the Ministry of Defense of the Republic of Serbia.
Metadata source: (Preuzeto iz ORCID-a) Drobnjak, Siniša
M-category: 
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