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1 Ergebnisse
1
Study on Power Line Insulator Defect Detection via Improved..:
, In:
2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT)
,
Liao, Guo-Ping
;
Yang, Geng-Jie
;
Tong, Wen-Tao
... - p. 262-266 , 2019
Link:
https://doi.org/10.1109/ICCSNT47585.2019.8962497
RT T1 <cTitle>2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT)</cTitle>: T1 <Title>Study on Power Line Insulator Defect Detection via Improved Faster Region-Based Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8962497&Exemplar=1&LAN=DE A1 Liao, Guo-Ping A1 Yang, Geng-Jie A1 Tong, Wen-Tao A1 Gao, Wei A1 Lv, Fang-Liang A1 Gao, Da YR 2019 K1 Insulators K1 Feature extraction K1 Lightning K1 Proposals K1 Training K1 Object detection K1 Convolutional neural networks K1 Insulator K1 defect detection K1 Faster Region-based Convolutional neural network (Faster R-CNN) SP 262 OP 266 LK http://dx.doi.org/https://doi.org/10.1109/ICCSNT47585.2019.8962497 DO https://doi.org/10.1109/ICCSNT47585.2019.8962497 SF ELIB - SuUB Bremen
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