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Updated: Jan 13, 2026

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深度学习和几何建模用于从GPR数据中3D重建地下公用事业

Peyman Jafary1, Davood Shojaei1, Krista A Ehinger2

  • 1Centre for Spatial Data Infrastructures and Land Administration, Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia.

Sensors (Basel, Switzerland)
|October 29, 2025
PubMed
概括

本研究介绍了使用地面透雷达 (GPR) 数据进行3D地下公用事业绘图的深度学习管道. 面具R-CNN的性能优于YOLO模型,为埋藏的公用事业提供了准确的空间轨迹近似.

关键词:
3D公用事业映射 3D公用事业映射在DBSCAN中,可以使用DBSCAN.地面透雷达 (GPR) 是一种地面透雷达.面具R-CNN是指一个R-CNN的面具.兰萨克 (RANSAC) 是一个国家.这就是YOLOv11的意义.这就是YOLOv8的意义.关键点检测检测的关键点检测

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