Consistency Self-Training Semi-Supervised Method for Road Extraction from Remote Sensing Images

Road extraction techniques based on remote sensing image have significantly advanced. Currently, fully supervised road segmentation neural networks based on remote sensing images require a significant number of densely labeled road samples, limiting their applicability in large-scale scenarios. Cons...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Xingjian Gu, Supeng Yu, Fen Huang, Shougang Ren, Chengcheng Fan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-10-01
Sarja:	Remote Sensing
Aiheet:	semi-supervised semantic segmentation generative adversarial network road extraction remote sensing image
Linkit:	https://www.mdpi.com/2072-4292/16/21/3945
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