Exploring Self-Supervised Learning for SAR ATR: A Knowledge-Guided Predictive Perspective

arXiv:2311.15153v3 Announce Type: replace
Abstract: The growing availability of Synthetic Aperture Radar (SAR) target datasets allows for the consolidation of different SAR Automatic Target Recognition (ATR) tasks using a foundational model powered by Self-Supervised Learning (SSL). SSL aims to derive supervision signals directly from the data, thereby minimizing the need for costly expert labeling and maximizing the use of the expanding sample pool in constructing a foundational model. This study investigates an effective SSL method for SAR ATR, which can …

abstract arxiv availability consolidation cs.cv data datasets eess.iv foundational model knowledge perspective predictive radar recognition self-supervised learning ssl supervised learning supervision synthetic tasks type