Now showing items 21-22 of 22
Transferring Synthetic Elementary Learning Tasks to Classification of Complex Targets
(IEEE Antennas and Wireless Propagation Letters, 2019)
Deep learning has a promising impact on target classification performance at the expense of huge training data requirements. Therefore, the use of simulated data is inevitable for convergence of deep models (DMs). However, ...
Evaluation of waveform structure features on time domain target recognition under cross polarization
(Journal of Physics: Conference Series, 2016)
Classification of aircraft targets from scattered electromagnetic waves is a challenging application, which suffers from aspect angle dependency. In order to eliminate the adverse effects of aspect angle, various strategies ...