6 citations · 13 across the 10 of their papers we have counts for
10 papers
Shadow-Oriented Tracking Method for Multi-Target Tracking in Video-SAR
Xiaochuan Ni, Xiaoling Zhang, Xu Zhan +4
This work focuses on multi-target tracking in Video synthetic aperture radar. Specifically, we refer to tracking based on targets' shadows. Current methods have limited accuracy as…
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging
Yu Ren, Xiaoling Zhang, Xu Zhan +3
Deep learning (DL)-based tomographic SAR imaging algorithms are gradually being studied. Typically, they use an unfolding network to mimic the iterative calculation of the classica…
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study
Xu Zhan, Xiaoling Zhang, Wensi Zhang +3
Benefiting from a relatively larger aperture's angle, and in combination with a wide transmitting bandwidth, near-field synthetic aperture radar (SAR) provides a high-resolution im…
Solving 3D Radar Imaging Inverse Problems with a Multi-cognition Task-oriented Framework
Xu Zhan, Xiaoling Zhang, Mou Wang +3
This work focuses on 3D Radar imaging inverse problems. Current methods obtain undifferentiated results that suffer task-depended information retrieval loss and thus don't meet the…
Constant-Time-Delay Interferences In Near-Field SAR: Analysis And Suppression In Image Domain
Xu Zhan, Xiaoling Zhang, Jun Shi +1
Inevitable interferences exist for the SAR system, adversely affecting the imaging quality. However, current analysis and suppression methods mainly focus on the far-field situatio…
AETomo-Net: A Novel Deep Learning Network for Tomographic SAR Imaging Based on Multi-dimensional Features
Yu Ren, Xiaoling Zhang, Yunqiao Hu +1
Tomographic synthetic aperture radar (TomoSAR) imaging algorithms based on deep learning can effectively reduce computational costs. The idea of existing researches is to reconstru…