5 papers
Uncertainty-Aware Cross-Modal Remote Sensing Image-Text Retrieval via Evidential Learning
Zhuoyue Wang, Xueqian Wang, Gang Li +3
In cross-modal remote sensing image-text retrieval (CMRSITR), test-time remote sensing (RS) images and textual descriptions may deviate from well-curated benchmark conditions due t…
Parameter Convergence Radar Detector Based on VAMP Deep Unfolding
Haoyun Zhang, Jianghong Han, Xueqian Wang +2
Compared with the sparse recovery process in traditional compressed sensing (CS) radar detector CAMP, vector AMP deep unfolding (VAMP-DU) can achieve sparse recovery over a broader…
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…
A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding
Haoyun Zhang, Chengyang Zhang, Xueqian Wang +2
The combination of deep unfolding with vector approximate message passing (VAMP) algorithm, results in faster convergence and higher sparse recovery accuracy than traditional compr…
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…