Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. (arXiv:2208.02349v1 [cs.CV])

Maintaining farm sustainability through optimizing the agricultural
management practices helps build more planet-friendly environment. The emerging
satellite missions can acquire multi- and hyperspectral imagery which captures
more detailed spectral information concerning the scanned area, hence allows us
to benefit from subtle spectral features during the analysis process in
agricultural applications. We introduce an approach for extracting 2.5 m
cultivated land maps from 10 m Sentinel-2 multispectral image series which
benefits from a compact graph convolutional neural network. The experiments
indicate …

arxiv cv extract graph graph neural networks image maps networks neural networks sentinel series