3 papers
eess.SP2026
RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning
Qiying Hu, Yaowen Li, Shengyi Zhang +3
Recent advances in pre-trained language models (PLMs) have demonstrated their capabilities in capturing universal knowledge, making them promising for radar signal processing appli…
eess.SP2025
When marine radar target detection meets pretrained large language models
Qiying Hu, Linping Zhang, Xueqian Wang +3
Deep learning (DL) methods are widely used to extract high-dimensional patterns from the sequence features of radar echo signals. However, conventional DL algorithms face challenge…
cs.CV2024
GLRT-Based Metric Learning for Remote Sensing Object Retrieval
Linping Zhang, Yu Liu, Xueqian Wang +2
With the improvement in the quantity and quality of remote sensing images, content-based remote sensing object retrieval (CBRSOR) has become an increasingly important topic. Howeve…