An Improved CenterNet Model for Insulator Defect Detection Using Aerial Imagery

An Improved CenterNet Model for Insulator Defect Detection Using Aerial Imagery

For the issue of low accuracy and poor real-time performance of insulator and defect detection by an unmanned aerial vehicle (UAV) in the process of power inspection, an insulator detection model MobileNet_CenterNet was proposed in this study. First, the lightweight network MobileNet V1 was used to...

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Bibliographic Details
Main Authors: Li, Y. (Author), Wang, B. (Author), Xia, H. (Author), Yang, B. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Aerial imagery
Aerial photography
Aircraft detection
Antennas
Centernet
CenterNet
Convolution
Defect detection
Defects
Detection accuracy
Feature extraction
Image enhancement
insulator defect detection
Insulator defect detection
Insulator detection
Position information
Power
Real time performance
Semantics
Unmanned aerial vehicle
unmanned aerial vehicle (UAV)
Unmanned aerial vehicles (UAV)
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