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Polish Cadastre Modernization with Remotely Extracted Buildings from High-Resolution Aerial Orthoimagery and Airborne LiDAR

Automatic building extraction from remote sensing data is a hot but challenging research topic for cadastre verification, modernization and updating. Deep learning algorithms are perceived as more promising in overcoming the difficulties of extracting semantic features from complex scenes and large...

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Principais autores: Damian Wierzbicki, Olga Matuk, Elzbieta Bielecka
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-02-01
Serier:Remote Sensing
Fag:
image segmentation
deep-learning
building outlines
cadastre modernization
FCN
high-resolution aerial orthoimages
Online adgang:https://www.mdpi.com/2072-4292/13/4/611
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