5 papers · 1 filter
Teaching large language models to see in radar: aspect-distributed prototypes for few-shot HRRP ATR
De Bi, Chengbai Xu, Lingfeng Chen +1
High-resolution range profiles (HRRPs) play a critical role in automatic target recognition (ATR) due to their richinformationregarding target scattering centers (SCs), which encap…
Large Language Models Can Achieve Explainable and Training-Free One-shot HRRP ATR
Lingfeng Chen, Panhe Hu, Zhiliang Pan +2
This letter introduces a pioneering, training-free and explainable framework for High-Resolution Range Profile (HRRP) automatic target recognition (ATR) utilizing large-scale pre-t…
Few-shot Human Motion Recognition through Multi-Aspect mmWave FMCW Radar Data
Hao Fan, Lingfeng Chen, Chengbai Xu +3
Radar human motion recognition methods based on deep learning models has been a heated spot of remote sensing in recent years, yet the existing methods are mostly radial-oriented.…
HRRPGraphNet: Make HRRPs to Be Graphs for Efficient Target Recognition
Lingfeng Chen, Xiao Sun, Zhiliang Pan +4
High Resolution Range Profiles (HRRP) have become a key area of focus in the domain of Radar Automatic Target Recognition (RATR). Despite the success of deep learning based HRRP re…
A Deep Learning-Based Target Radial Length Estimation Method through HRRP Sequence
Lingfeng Chen, Panhe Hu, Zhiliang Pan +2
This paper introduces an innovative deep learning-based method for end-to-end target radial length estimation from HRRP (High Resolution Range Profile) sequences. Firstly, the HRRP…