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
Accurate land cover data are essential to a reliable decision-making process; therefore, researchers have turned to novel land cover classification algorithms employing machine learning on high-resolution satellite imagery to improve classification accuracy. The experiment presented in this paper a...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nicolaus Copernicus University in Toruń
2022-12-01
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| Serie: | Bulletin of Geography. Socio-Economic Series |
| Soggetti: | |
| Accesso online: | https://apcz.umk.pl/BGSS/article/view/35666 |
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