Inertia Ratio Parameter Extraction of Typical Ballistic Target Based on Deep Learning

This paper proposes a method based on deep learning to extract the inertia ratio parameter of typical ballistic targets. This method performs time-frequency analysis on the target's echoes to generate time-frequency distribution images and construct a dataset. Deep learning neural networks are training to extract the inertia ratio parameter corresponding to different time-frequency distribution im...