Transmission line detection based on a hierarchical and contextual model for aerial images

Author:

Li Bo1,Chen Cheng2

Affiliation:

1. Nanjing Agricultural University, College of Engineering, Nanjing

2. Global Energy Interconnection Research Institute Co. Ltd., Beijing

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CN-YOLO: cascaded network based defect detection approach for insulator aerial images with complex background;Journal of Electronic Imaging;2024-04-16

2. Image Recognition and Processing Algorithm of Power Grid Facilities Map Based on Deep Learning;2024 Asia-Pacific Conference on Software Engineering, Social Network Analysis and Intelligent Computing (SSAIC);2024-01-10

3. RGB pixel information fusion segmentation of dense point cloud data for transmission and distribution 3D digital corridors;Applied Mathematics and Nonlinear Sciences;2024-01-01

4. Transmission line detection in aerial images: An instance segmentation approach based on multitask neural networks;Signal Processing: Image Communication;2021-08

5. A heterogeneous autonomous collaborative system for powerline inspection using human-robotic teaming;2021 16th International Conference of System of Systems Engineering (SoSE);2021-06-14

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