3 years ago

An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images.

Zenan Ling, Haichun Liu, Lei Chu, Yuhang Zhang, Zhijian Jin, Robert C. Qiu, Xing He

The location of broken insulators in aerial images is a challenging task. This paper, focusing on the self-blast glass insulator, proposes a deep learning solution. We address the broken insulators location problem as a low signal-noise-ratio image location framework with two modules: 1) object detection based on Fast R-CNN, and 2) classification of pixels based on U-net. A diverse aerial image set of some grid in China is tested to validated the proposed approach. Furthermore, a comparison is made among different methods and the result shows that our approach is accurate and real-time.

Publisher URL: http://arxiv.org/abs/1801.05143

DOI: arXiv:1801.05143v1

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