基于探地雷达的深度神经网络地下物体三维建模

IF 4.7 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computing in Civil Engineering Pub Date : 2023-11-01 DOI:10.1061/jccee5.cpeng-5359

Jinglun Feng, Liang Yang, Jizhong Xiao

引用次数: 0

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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Subsurface Object 3D Modeling Based on Ground Penetration Radar Using Deep Neural Network

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来源期刊

Journal of Computing in Civil Engineering 工程技术-工程：土木

CiteScore

11.90

自引率

7.20%

发文量

审稿时长

6 months

期刊介绍： The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments in computer science, information science, computer engineering, knowledge engineering, and other technical fields. Some examples are innovations in artificial intelligence, parallel processing, distributed computing, graphics and imaging, and information technology. The journal publishes research, implementation, and applications in cross-disciplinary areas including software, such as new programming languages, database-management systems, computer-aided design systems, and expert systems; hardware for robotics, bar coding, remote sensing, data mining, and knowledge acquisition; and strategic issues such as the management of computing resources, implementation strategies, and organizational impacts.