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 ...

The classification of similar shaped objects from scattered electromagnetic waves is a difficult problem, as it heavily depends on the aspect angle. The reduction of the adverse effects of the aspect angle is possible by ...

The classification of similar shaped objects from scattered electromagnetic waves is a difficult problem, as it heavily depends on the aspect angle. The reduction of the adverse effects of the aspect angle is possible by ...

Object classification using LAte-time Resonant Scattering Electromagnetic Signals (LARSESs) is a significant problem found in different areas of application. Due to their special properties, spherical objects play an ...

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, ...

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 ...