基于深度学习的多区域分割路面裂缝检测方法

IF 3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

International Journal of Pavement Research and Technology Pub Date : 2023-06-05 DOI:10.1007/s42947-023-00330-x

Zhang Jing, Li Yanzhi, Jiang Zhongyu, Xu Siyuan

引用次数: 1

摘要

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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Multi-region Segmentation Pavement Crack Detection Method Based on Deep Learning

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来源期刊

International Journal of Pavement Research and Technology Engineering-Civil and Structural Engineering

CiteScore

4.90

自引率

0.00%

发文量

120

期刊介绍： The objective of the International Journal of Pavement Research and Technology is to provide a platform to promote exchange of ideas among pavement engineering communities around the world. The journal attempts to disseminate information on all aspects of pavement engineering and technology developed through research and practical experiences.The journal is published bi-monthly, in January, March, May, July, September, and November each year (six issues in each volume). Contributions in the form of research paper, review, or discussions will be considered for publication. To cover a wide range of pavement engineering disciplines and industrial applications, the journal includes the following topics: Advanced analytical and computational techniques in pavement engineeringPavement mechanics and pavement designPavement construction, performance, management, maintenance, and rehabilitation techniquesPavement materialsPavement recyclingPavement surface and subsurface drainageEnvironmental issues associated with pavement materials and constructionAccelerated and full-scale pavement testingNon-destructive testingInnovative design method and practicePavement-vehicle interaction and safety issuePavement PreservationPavement Instrumentation