Multiclass Land Cover Mapping from Historical Orthophotos Using Domain Adaptation and Spatio-Temporal Transfer Learning

Multiclass Land Cover Mapping from Historical Orthophotos Using Domain Adaptation and Spatio-Temporal Transfer Learning

Historical land cover (LC) maps are an essential instrument for studying long-term spatio-temporal changes of the landscape. However, manual labelling on low-quality monochromatic historical orthophotos for semantic segmentation (pixel-level classification) is particularly challenging and time consu...

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Bibliographic Details
Main Authors:	Wouter A. J. Van den Broeck, Toon Goedemé, Maarten Loopmans
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Remote Sensing
Subjects:	earth observation historical orthophotos landuse/land cover mapping multiclass semantic segmentation deep learning fully convolutional networks
Online Access:	https://www.mdpi.com/2072-4292/14/23/5911

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