Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa

Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa

Multitemporal environmental and urban studies are essential to guide policy making to ultimately improve human wellbeing in the Global South. Land-cover products derived from historical aerial orthomosaics acquired decades ago can provide important evidence to inform long-term studies. To reduce the...

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Bibliographic Details
Main Authors: Nicholus Mboga, Stefano D’Aronco, Tais Grippa, Charlotte Pelletier, Stefanos Georganos, Sabine Vanhuysse, Eléonore Wolff, Benoît Smets, Olivier Dewitte, Moritz Lennert, Jan Dirk Wegner
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
unsupervised domain adaptation
adversarial learning
correlation alignment
historical panchromatic orthomosaics
land-cover mapping
fully convolutional networks
Online Access:https://www.mdpi.com/2220-9964/10/8/523

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https://www.mdpi.com/2220-9964/10/8/523

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