Deep learning based approach for the instance segmentation of clayey soil desiccation cracks

The identification of clayey soil desiccation cracks is an important practical issue in geotechnical engineering and engineering geology. The desiccation cracks can dramatically increase the hydraulic conductivity and deteriorate the mechanical performances of clayey soils. Traditionally, the analys...

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Veröffentlicht in:	Computers and geotechnics 2022-06, Vol.146, p.104733, Article 104733
Hauptverfasser:	Han, Xiao-Le, Jiang, Ning-Jun, Yang, Yu-Fei, Choi, Jongseong, Singh, Devandra N., Beta, Priyanka, Du, Yan-Jun, Wang, Yi-Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Automation Clay Clay soils Clayey soil Cracks Deep learning Desiccation Desiccation crack Detection Engineering geology Flaw detection Geology Geotechnical engineering Image processing Image segmentation Information processing Inspection Instance segmentation Intelligence Localization Machine learning Mask R-CNN Soil Soil analysis Soil mechanics State-of-the-art reviews Visual inspection
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