Crack Unet: Crack Recognition Algorithm Based on Three-Dimensional Ground Penetrating Radar Images

Three-dimensional (3D) ground-penetrating radar is an effective method for detecting internal crack damage in pavement structures. Inefficient manual interpretation of radar images and high personnel requirements have substantially restrained the generalization of 3D ground-penetrating radar. An imp...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 23; S. 9366
Hauptverfasser:	Tang, Jiaming, Chen, Chunhua, Huang, Zhiyong, Zhang, Xiaoning, Li, Weixiong, Huang, Min, Deng, Linghui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.12.2022 MDPI
Schlagworte:	3D ground penetrating radar Accuracy Algorithms Asphalt pavements Cavitation convolutional neural network crack recognition Cracks Deep learning Ground penetrating radar Image processing Image Processing, Computer-Assisted Medical imaging Neural networks Radar Recognition, Psychology Roads & highways Semantics Support vector machines Torres, J crack recognition 3D ground penetrating radar convolutional neural network
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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