32 citations · 58 across the 14 of their papers we have counts for
14 papers
Large-field-of-view lensless imaging with miniaturized sensors
Yu Ren, Xiaoling Zhang, Xu Zhan +4
Lensless cameras replace bulky optics with thin modulation masks, enabling compact imaging systems. However, existing methods rely on an idealized model that assumes a globally shi…
Scene-aware SAR ship detection guided by unsupervised sea-land segmentation
Han Ke, Xiao Ke, Ye Yan +5
DL based Synthetic Aperture Radar (SAR) ship detection has tremendous advantages in numerous areas. However, it still faces some problems, such as the lack of prior knowledge, whic…
A generative approach for lensless imaging in low-light conditions
Ziyang Liu, Tianjiao Zeng, Xu Zhan +2
Lensless imaging offers a lightweight, compact alternative to traditional lens-based systems, ideal for exploration in space-constrained environments. However, the absence of a foc…
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…
3D Super-Resolution Imaging Method for Distributed Millimeter-wave Automotive Radar System
Yanqin Xu, Xiaoling Zhang, Shunjun Wei +3
Millimeter-wave (mmW) radar is widely applied to advanced autopilot assistance systems. However, its small antenna aperture causes a low imaging resolution. In this paper, a new di…
Near-Field SAR Image Restoration Based On Two Dimensional Spatial-Variant Deconvolution
Wensi Zhang, Xiaoling Zhang, Xu Zhan +3
Images of near-field SAR contains spatial-variant sidelobes and clutter, subduing the image quality. Current image restoration methods are only suitable for small observation angle…
Complicated Background Suppression of ViSAR Image For Moving Target Shadow Detection
Zhenyu Yang, Xiaoling Zhang, Xu Zhan
The existing Video Synthetic Aperture Radar (ViSAR) moving target shadow detection methods based on deep neural networks mostly generate numerous false alarms and missing detection…
Two Dimensional Sparse-Regularization-Based InSAR Imaging with Back-Projection Embedding
Xu Zhan, Xiaoling Zhang, Shunjun Wei +1
Interferometric Synthetic Aperture Radar (InSAR) Imaging methods are usually based on algorithms of match-filtering type, without considering the scene's characteristic, which caus…
Roles of scattered and ballistic photons in imaging through scattering media: a deep learning-based study
Xuyu Zhan, Jingjing Gao, Yu Gan +6
Scattering of light in complex media scrambles optical wavefronts and breaks the principles of conventional imaging methods. For decades, researchers have endeavored to conquer the…
Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement
Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang +3
Moving target shadows among video synthetic aperture radar (Video-SAR) images are always interfered by low scattering backgrounds and cluttered noises, causing poor detec-tion-trac…