Paper
10 February 2023 Research on 3D geographic information recognition and labeling technology based on YOLO
Xingyun Chen, Kejian Nie, Jianping Cheng
Author Affiliations +
Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255203 (2023) https://doi.org/10.1117/12.2667451
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
Transmission line path selection is an important part of transmission line engineering design, which directly affects the construction cost and disaster resistance of transmission line engineering. At present, designers mainly rely on the human eye to identify and judge sensitive objects in 3D satellite cloud images, which is not only time-consuming and labor-intensive, but also easily leads to missed judgments and misjudgments. This paper uses the YOLOv5 model and learns from a large number of samples to quickly and accurately judge, identify and label various sensitive objects in the 3D satellite cloud image, which can effectively improve the design efficiency of transmission lines and reduce design costs.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingyun Chen, Kejian Nie, and Jianping Cheng "Research on 3D geographic information recognition and labeling technology based on YOLO", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255203 (10 February 2023); https://doi.org/10.1117/12.2667451
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KEYWORDS
3D image processing

3D modeling

Design and modelling

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