Aggregating Deep Convolutional Feature Maps for Insulator Detection in Infrared Images

Aggregating Deep Convolutional Feature Maps for Insulator Detection in Infrared Images

Insulator detection using an infrared image is challenged by variance of temperature, orientations, and a cluttered background. A robust and discriminative representation of insulators in electric power systems is needed. This paper proposes a novel method for generating this type of representation...

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Bibliographic Details
Main Authors: Zhenbing Zhao, Xiaoqing Fan, Guozhi Xu, Lei Zhang, Yincheng Qi, Ke Zhang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Convolutional feature map
Deep Convolutional Neural Network
feature extraction
infrared image
insulators
object detection
Online Access:https://ieeexplore.ieee.org/document/8052216/

Internet

https://ieeexplore.ieee.org/document/8052216/

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