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

Internet

https://www.mdpi.com/2072-4292/14/23/5911

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