{"title":"基于机器学习的探地雷达图像中地下目标的自动检测与分类","authors":"Leila Carolina Martoni Amaral, Aditya Roshan, Alireza Bayat","doi":"10.1061/jpsea2.pseng-1444","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":16804,"journal":{"name":"Journal of Pipeline Systems Engineering and Practice","volume":"730 ","pages":"0"},"PeriodicalIF":1.8000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Detection and Classification of Underground Objects in Ground Penetrating Radar Images Using Machine Learning\",\"authors\":\"Leila Carolina Martoni Amaral, Aditya Roshan, Alireza Bayat\",\"doi\":\"10.1061/jpsea2.pseng-1444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":16804,\"journal\":{\"name\":\"Journal of Pipeline Systems Engineering and Practice\",\"volume\":\"730 \",\"pages\":\"0\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pipeline Systems Engineering and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1061/jpsea2.pseng-1444\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pipeline Systems Engineering and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/jpsea2.pseng-1444","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
期刊介绍:
The Journal of Pipeline Systems Engineering and Practice is a professional, authoritative technical resource that reports on a broad range of topics pertaining to the planning, engineering, design, construction, renewal, safety, operation and maintenance, asset management, environmental aspects, and sustainability of pipeline systems.
An important technical reference for researchers and practitioners from academia, industry, and government, it presents in-depth information on water distribution and transmission systems, wastewater collection systems (gravity and force mains), storm sewers and drainage structures/culverts, oil, gas, industrial, slurry, pneumatic and capsule pipelines, as well as conduit applications for power and communication cables.