3 papers
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…
eess.SP2025
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…
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…