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eNauka >  Rezultati >  Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images
Naziv: Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images
Autori: Drobnjak, Sinisa  ; Stojanovic, Marko  ; Djordjevic, Dejan  ; Bakrac, Sasa  ; Jovanovic, Jasmina  ; Djordjevic, Aleksandar  
Godina: 2022
Publikacija: Frontiers in Environmental Science
ISSN: 2296-665X Frontiers in Environmental Science Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: 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
Projekat: 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.
Izvor metapodataka: (Preuzeto iz ORCID-a) Drobnjak, Siniša
M-kategorija: 
21M21 - Vodeći međunarodni časopis kategorije M21

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