UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2

UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2

The article discusses a method for classifying land cover types in rural areas using a trained neural network. The focus is on distinguishing agriculturally cultivated areas and differentiating bare soil from quarry areas. This distinction is not present in publicly available databases like CORINE,...

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Bibliographic Details
Main Authors:	P. Kramarczyk, B. Hejmanowska
Format:	Article
Language:	English
Published:	Copernicus Publications 2023-10-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://isprs-archives.copernicus.org/articles/XLVIII-1-W3-2023/85/2023/isprs-archives-XLVIII-1-W3-2023-85-2023.pdf

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