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Toplam kayıt 8, listelenen: 1-8
Transferring Synthetic Elementary Learning Tasks to Classification of Complex Targets
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 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, ...
Utilizing Resonant Scattering Signal Characteristics of Magnetic Spheres via Deep Learning for Improved Target Classification
(IEEE, 2019)
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 ...
The Effects of Geometric Scattered Signal Waveform Modeling on Target Identification Performance
(IEEE, 2017)
Target identification from scattered signals using time domain techniques depend significantly on the waveform. Recently, a novel feature set is proposed which encounter structural properties of the waveform and collects ...
Comparison of Scattered Signal Waveform Recovery Techniques Under Low SNR for Target Identification
(IEEE, 2017)
Target identification from scattered electromagnetic waves is a difficult problem especially at low SNR levels, which prevents extraction of distinguishable information. When a scattered signal is corrupted by noise, it ...
Hierarchical Reconstruction and Structural Waveform Analysis for Target Classification
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016)
Classification of objects from scattered electromagnetic waves is a difficult problem, as it heavily depends on aspect angle. To minimize this dependency, distinguishable features can be used. In this paper, we propose a ...
Evaluation of Waveform Structure Features on Time Domain Target Recognition under Cross Polarization
(IOP PUBLISHING LTD, 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 ...
Real Time Classification of Targets Using Waveforms in Resonance Scattering Region
(IEEE, 2015)
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 ...
Real Time Classification of Targets Using Waveforms in Resonance Scattering Region
(IEEE, 2015)
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 ...