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Pregled bibliografske jedinice broj: 1146680

MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES

Gilić, Frane; Baučić, Martina
MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES // 6th International Conference on Smart Data and Smart Cities
Stuttgart, Njemačka, 2021. str. 1-2 (predavanje, međunarodna recenzija, neobjavljeni rad, ostalo)

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Naslov
MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES

Autori
Gilić, Frane ; Baučić, Martina

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, ostalo

Skup
6th International Conference on Smart Data and Smart Cities

Mjesto i datum
Stuttgart, Njemačka, 15.09.2021. - 17.09.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
machine learning ; geospatial ; remote sensing ; multispectral images ; classification ; algorithms

Sažetak
In this paper, concepts of multispectral image classification are explained, particularly spectral- based classification. Some of the most popular supervised and unsupervised methods have been mentioned as well as approaches for vegetation classification in urban areas.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija



POVEZANOST RADA

Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split

Profili:

Avatar Url Martina Baučić (autor)

Avatar Url Frane Gilić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Gilić, Frane; Baučić, Martina
MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES // 6th International Conference on Smart Data and Smart Cities
Stuttgart, Njemačka, 2021. str. 1-2 (predavanje, međunarodna recenzija, neobjavljeni rad, ostalo)
Gilić, F. & Baučić, M. (2021) MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES. U: 6th International Conference on Smart Data and Smart Cities.
@article{article, author = {Gili\'{c}, Frane and Bau\v{c}i\'{c}, Martina}, year = {2021}, pages = {1-2}, keywords = {machine learning, geospatial, remote sensing, multispectral images, classification, algorithms}, title = {MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES}, keyword = {machine learning, geospatial, remote sensing, multispectral images, classification, algorithms}, publisherplace = {Stuttgart, Njema\v{c}ka} }
@article{article, author = {Gili\'{c}, Frane and Bau\v{c}i\'{c}, Martina}, year = {2021}, pages = {1-2}, keywords = {machine learning, geospatial, remote sensing, multispectral images, classification, algorithms}, title = {MACHINE LEARNING FOR VEGETATION CLASSIFICATION ON MULTISPECTRAL IMAGES}, keyword = {machine learning, geospatial, remote sensing, multispectral images, classification, algorithms}, publisherplace = {Stuttgart, Njema\v{c}ka} }

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