Comparison of Different U-Net Models for Building Extraction from High-Resolution Aerial Imagery

Comparison of Different U-Net Models for Building Extraction from High-Resolution Aerial Imagery

Building extraction from high-resolution aerial imagery plays an important role in geospatial applications such as urban planning, telecommunication, disaster monitoring, navigation, updating geographic databases, and urban dynamic monitoring. Automatic building extraction is a challenging task, as...

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Bibliographic Details
Main Authors:	Fırat ERDEM, Ugur Avdan
Format:	Article
Language:	English
Published:	IJEGEO 2020-12-01
Series:	International Journal of Environment and Geoinformatics
Subjects:	building extraction deep learning remote sensing semantic segmentation u-net

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