Yuan-Shuai Li

TSAR-Net: Transfer-Enhanced Local-to-Global Representation Learning for Micro-Doppler Classification of Small Aerial Targets

Radar remote sensing provides an effective means of analyzing target characteristics for low-altitude surveillance, and the rapid growth and misuse of drones highlight the need for efficient classification of small aerial targets such as drones and birds. Micro-motions, such as rotor rotation or wing flapping, induce c...