Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Wei, Shunjun"'
Array synthetic aperture radar (SAR) three-dimensional (3D) imaging can obtain 3D information of the target region, which is widely used in environmental monitoring and scattering information measurement. In recent years, with the development of comp
Externí odkaz:
http://arxiv.org/abs/2405.05565
Autor:
Ni, Xiaochuan, Zhang, Xiaoling, Zhan, Xu, Yang, Zhenyu, Shi, Jun, Wei, Shunjun, Zeng, Tianjiao
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 they fail to consider shadows' characteristics and surroundings fully
Externí odkaz:
http://arxiv.org/abs/2211.15995
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 classical compressive sensing (CS)-based methods and process each range-azimut
Externí odkaz:
http://arxiv.org/abs/2211.15002
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 image of a target's scattering distribution-hot spots. Meanwhile, imagin
Externí odkaz:
http://arxiv.org/abs/2211.14990
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 task's specific demands well. For example, biased scattering energy m
Externí odkaz:
http://arxiv.org/abs/2211.14989
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, due to their assumption of 2D spatial-invariant degradation operatio
Externí odkaz:
http://arxiv.org/abs/2209.10442
With the booming of Convolutional Neural Networks (CNNs), CNNs such as VGG-16 and ResNet-50 widely serve as backbone in SAR ship detection. However, CNN based backbone is hard to model long-range dependencies, and causes the lack of enough high-quali
Externí odkaz:
http://arxiv.org/abs/2209.10421
Interferometric Synthetic Aperture Radar (InSAR) Imaging methods are usually based on algorithms of match-filtering type, without considering the scene's characteristic, which causes limited imaging quality. Besides, post-processing steps are inevita
Externí odkaz:
http://arxiv.org/abs/2209.10417
Inevitable interferences exist for the SAR system, adversely affecting the imaging quality. However, current analysis and suppression methods mainly focus on the far-field situation. Due to different sources and characteristics of interferences, they
Externí odkaz:
http://arxiv.org/abs/2209.11039
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 distributed mmW radar system is designed to solve this problem. It forms
Externí odkaz:
http://arxiv.org/abs/2209.11037