Detection of Bird’s Nest in High Power Lines in the Vicinity of Remote Campus Based on Combination Features and Cascade Classifier

Detection of Bird’s Nest in High Power Lines in the Vicinity of Remote Campus Based on Combination Features and Cascade Classifier

High-voltage transmission towers are built to supply electricity for campuses and local residents. In order to guarantee the power supply and safety for remote campus, the unmanned aerial vehicles (UAVs) are used to take the images of high power lines to alarm potential malfunction. A novel method o...

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Bibliographic Details
Main Authors: Jianfeng Lu, Xiaoyu Xu, Xin Li, Li Li, Chin-Chen Chang, Xiaoqing Feng, Shanqing Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Remote campus
security for smart campus
combination feature
cascade classifier
detection of bird’s nest
Online Access:https://ieeexplore.ieee.org/document/8400519/

Internet

https://ieeexplore.ieee.org/document/8400519/

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