An Improved HRNetV2-Based Semantic Segmentation Algorithm for Pipe Corrosion Detection in Smart City Drainage Networks

Urban drainage pipelines are essential components of smart city infrastructure, supporting the safe and sustainable operation of underground systems. However, internal corrosion in pipelines poses significant risks to structural stability and public safety. In this study, we propose an enhanced sema...

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Detalles Bibliográficos

Principais autores:	Liang Gao, Xinxin Huang, Wanling Si, Feng Yang, Xu Qiao, Yaru Zhu, Tingyang Fu, Jianshe Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-09-01
Series:	Journal of Imaging
Assuntos:	semantic segmentation urban drainage pipeline HRNetV2 CBAM pyramid pooling corrosion detection
Acceso en liña:	https://www.mdpi.com/2313-433X/11/10/325
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