Power line detection in millimetre‐wave radar images applying convolutional neural networks

Author:

Xiong Wei12ORCID,Luo Jingsheng12ORCID,Yu Chaopeng1

Affiliation:

1. Leihua Electronic Technology Research Institute Aviation Industry Corporation of China Wuxi China

2. Aviation Key Laboratory of Science and Technology on AISSS Wuxi China

Funder

Aeronautical Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 7 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. Deep convolutional neural network for meteorology target detection in airborne weather radar images;Journal of Systems Engineering and Electronics;2023-10

2. A novel frequency‐modulated continuous‐wave radar‐based power line detection method exploiting the Bragg angle;Electronics Letters;2023-07

3. A Fast Power Lines RCS Calculation Method Combining IEDG with CM-SMWA;Electronics;2023-02-02

4. Detecting Power Line of Millimeter-Wave Base on Convolutional Neural Network;Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022);2023

5. Power Line Detection Method Based on Broadband Characteristics of FMCW Radar;2022 14th International Conference on Signal Processing Systems (ICSPS);2022-11

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