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1 Ergebnisse
1
A Method to Obtain Deep Neural Network for Predicting ISAR ..:
, In:
2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)
,
Cao, Heng
;
Cao, Jianing
;
Ren, Qiang
- p. 1-3 , 2021
Link:
https://doi.org/10.1109/iWEM53379.2021.9790521
RT T1
2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)
: T1
A Method to Obtain Deep Neural Network for Predicting ISAR Images of Coted Targets with Defect
UL https://suche.suub.uni-bremen.de/peid=ieee-9790521&Exemplar=1&LAN=DE A1 Cao, Heng A1 Cao, Jianing A1 Ren, Qiang YR 2021 K1 Deep learning K1 Technological innovation K1 Radar cross-sections K1 Neural networks K1 Airborne radar K1 Real-time systems K1 Aircraft manufacture K1 Radar absorbing material K1 prediction K1 inverse synthetic aperture radar (ISAR) K1 U-net SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/iWEM53379.2021.9790521 DO https://doi.org/10.1109/iWEM53379.2021.9790521 SF ELIB - SuUB Bremen
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