Bridging Optical Appearance and SAR Scattering With Vision-Language Prototypes for Zero-Shot Target Recognition
Supervised synthetic aperture radar (SAR) automatic target recognition (ATR) methods rely on a closed-set assumption and struggle to recognize unseen target categories without labeled SAR samples. Zero-shot learning (ZSL) offers a promising solution by transferring knowledge from seen classes and external semantic prio...