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Improved SSD-based transmission tower detection in SAR images

Gao, Yuan ; Yang, Wei ; Li, Chunsheng ; Zou, Fei

Journal of engineering (Stevenage, England), 2019-10, Vol.2019 (20), p.7161-7164 [Periódico revisado por pares]

The Institution of Engineering and Technology

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Título:
Improved SSD-based transmission tower detection in SAR images
Autor: Gao, Yuan ; Yang, Wei ; Li, Chunsheng ; Zou, Fei
Assuntos: convolutional neural nets ; convolutional neural network ; deep learning-based technique ; IET International Radar Conference (IRC 2018) ; improved SSD‐based transmission tower detection method ; learning (artificial intelligence) ; maintenance engineering ; object detection ; object detection method ; poles and towers ; radar computing ; radar imaging ; SAR images ; SAR transmission tower detection ; shallow feature ; synthetic aperture radar ; transmission system maintenance ; transmission system monitoring
É parte de: Journal of engineering (Stevenage, England), 2019-10, Vol.2019 (20), p.7161-7164
Descrição: SAR transmission tower detection is essential to transmission system monitoring and maintenance. Various methods have been proposed to detect transmission tower by using shallow feature. With the development of the deep learning based on convolutional neural network, this study proposed an improved SSD-based transmission tower detection method by introducing deep learning-based technique. First, SSD, a state-of-the-art object detection method, is analysed in detail. Then, the algorithm is modified to fit authors’ specific domain. According to the experiment results in real SAR images, it is showed that the modified method gains better detection performance. Finally, ablation experiments are also performed to confirm each modification step produces better result.
Editor: The Institution of Engineering and Technology
Idioma: Inglês

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Improved SSD-based transmission tower detection in SAR images

Gao, Yuan ; Yang, Wei ; Li, Chunsheng ; Zou, Fei

The Institution of Engineering and Technology

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