Concrete spalling detection system based on semantic segmentation using deep architectures

This paper presents a method for detecting the location of spalling and assessing the severity level of the spalling in concrete surfaces. The proposed method is constructed based on deep learning architectures and multi-class semantic segmentation. The proposed method can detect each pixel as a non...

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Veröffentlicht in:	Computers & structures Jg. 300; S. 107398
Hauptverfasser:	Yasmin, Tamanna, La, Duc, La, Kien, Nguyen, Minh Tuan, La, Hung Manh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.08.2024
Schlagworte:	Deep architecture Deep neural networks Encoder-decoder Spalling detection Spalling severity Spalling detection Deep neural networks Encoder-decoder Deep architecture Spalling severity
ISSN:	0045-7949, 1879-2243
Online-Zugang:	Volltext
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