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pro vyhledávání: '"Ehtesham, Aiman Rafeed"'
Autor:
Onim, Md. Saif Hassan, Ehtesham, Aiman Rafeed, Anbar, Amreen, Islam, A. K. M. Nazrul, Rahman, A. K. M. Mahbubur
This paper analyses how well a Fast Fully Convolutional Network (FastFCN) semantically segments satellite images and thus classifies Land Use/Land Cover(LULC) classes. Fast-FCN was used on Gaofen-2 Image Dataset (GID-2) to segment them in five differ
Externí odkaz:
http://arxiv.org/abs/2011.06825