Efficient power component identification with long short-term memory and deep neural network

Efficient power component identification with long short-term memory and deep neural network

Abstract This paper tackles a recent challenge in patrol image processing on how to improve the identification accuracy for power component, especially for the scenarios including many interference objects. Our proposed method can fully use the patrol image information from live work, and it is thus...

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Bibliographic Details
Main Authors: Jingsheng Lei, Wenbin Shi, Zhichao Lei, Fengyong Li
Format: Article
Language:English
Published: SpringerOpen 2018-11-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Power component identification
Long short-term memory
Convolutional neural network
Anti-interference
Live work inspection
Online Access:http://link.springer.com/article/10.1186/s13640-018-0337-z

Internet

http://link.springer.com/article/10.1186/s13640-018-0337-z

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