Automatic soil desiccation crack recognition using deep learning

IF 4.2 1区工程技术 Q1 ENGINEERING, GEOLOGICAL

Geotechnique Pub Date : 2020-12-01 DOI:10.1680/jgeot.20.p.091

Jin-jian Xu, Hao Zhang, C. Tang, Q. Cheng, Bo Liu, B. Shi

引用次数: 27

Abstract

Soil desiccation cracking is a common natural phenomenon. The existence of cracks can negatively impact both mechanical and hydraulic properties of soil. Accurate acquisition of soil crack networks...

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基于深度学习的土壤干燥裂缝自动识别

土壤干燥开裂是一种常见的自然现象。裂缝的存在会对土壤的力学和水力特性产生负面影响。土壤裂缝网络的精确采集。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geotechnique 工程技术-地球科学综合

CiteScore

9.80

自引率

10.30%

发文量

168

审稿时长

7 months

期刊介绍： Established in 1948, Géotechnique is the world''s premier geotechnics journal, publishing research of the highest quality on all aspects of geotechnical engineering. Géotechnique provides access to rigorously refereed, current, innovative and authoritative research and practical papers, across the fields of soil and rock mechanics, engineering geology and environmental geotechnics.