PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images

While most state-of-the-art instance segmentation methods produce binary segmentation masks, geographic and cartographic applications typically require precise vector polygons of extracted objects instead of rasterized output. This paper introduces PolyWorld, a neural network that directly extracts...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 1938 - 1947
Hlavní autori:	Zorzi, Stefano, Bazrafkan, Shabab, Habenschuss, Stefan, Fraundorfer, Friedrich
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	Buildings Codes Computer network reliability Computer vision grouping and shape analysis Image segmentation Photogrammetry and remote sensing; Deep learning architectures and techniques; Segmentation Predictive models Satellites
ISSN:	1063-6919
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