TYTUŁ ARTYKUŁU

Accuracy evaluation of convolutional neural network classification algorithms for building identification in rural and urban areas from very-high-resolution satellite imagery in Jambi, Indonesia

AUTORZY
Muhammad Dimyati, Daniel Adi Nugroho, Laswanto
TYTUŁ CZASOPISMA
Bulletin of Geography. Socio-Economic Series
WYDANIE
2022 / Numer 58
STRONY
141 - 154
ROK
2022
WYDAWCA
Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika
ISSN
1732-4254
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CZYSTY TEKST

Muhammad Dimyati, Daniel Adi Nugroho, Laswanto, Accuracy evaluation of convolutional neural network classification algorithms for building identification in rural and urban areas from very-high-resolution satellite imagery in Jambi, Indonesia, Bulletin of Geography. Socio-Economic Series, 2022 / Numer 58, s. 141 - 154

BIBTEX 
@article{bazhum652152,
  author = {Dimyati, Muhammad and Nugroho, Daniel Adi and {Laswanto}},
  title = {{Accuracy evaluation of convolutional neural network classification algorithms for building identification in rural and urban areas from very-high-resolution satellite imagery in Jambi, Indonesia}},
  journal = {Bulletin of Geography. Socio-Economic Series},
  year = {2022},
  number = {58},
  pages = {141--154},
  issn = {1732-4254},
  url = {https://bazhum.muzhp.pl/articles/652152}
}