Results 11 to 20 of about 13,439 (259)
Circular SAR Incoherent 3D Imaging with a NeRF-Inspired Method
Circular synthetic aperture radar (CSAR) has the potential to form 3D images with single-pass single-channel radar data, which is very time-efficient.
Hanqing Zhang +5 more
doaj +3 more sources
Near-Field 3D Sparse SAR Direct Imaging with Irregular Samples
Sparse imaging is widely used in synthetic aperture radar (SAR) imaging. Compared with the traditional matched filtering (MF) methods, sparse SAR imaging can directly image the scattered points of a target and effectively reduce the sidelobes and clutter
Shiqi Xing +5 more
doaj +2 more sources
SAR 3D sparse imaging based on CLA [PDF]
A novel method for synthetic aperture radar (SAR) three‐dimensional (3D) sparse imaging based on a coprime linear array (CLA) is proposed. To reduce the geometric resolution loss caused by under‐sampled sparse SAR, a jointed sparse imaging approach is used.
Bokun Tian +4 more
openaire +2 more sources
Curved Synthetic Aperture Radar for Near-Field Terahertz Imaging
High resolution imaging techniques will play an essential role in the future smart imaging applications to provide potential solutions for accurate detection, monitoring and classification of the target.
Mavis Gezimati, Ghanshyam Singh
doaj +1 more source
Traditional spaceborne Synthetic Aperture Radar (SAR) can acquire three-dimensional (3D) images by using multi-baseline SAR data, which solves the problem of layover in two-dimensional (2D) SAR image, however, there is still a problem of insufficient ...
Kuang Hui +3 more
doaj +1 more source
Circular ground-based SAR (GBSAR) is a new 3D imaging GBSAR with the potential of acquiring high-quality 3D SAR images and 3D deformation. However, its donut-shaped spectrum and short radius of antenna rotation cause high sidelobes on 3D curved surfaces,
Qiming Zhang +3 more
doaj +1 more source
Airborne SAR tomography (TomoSAR) 3D image reconstruction can be realized with combination of 2D imaging algorithms and compressed sensing (CS) algorithms.
Dong Han +5 more
doaj +1 more source
3D SAR Imaging Method Based on Learned Sparse Prior
The development of 3D Synthetic Aperture Radar (SAR) imaging is currently hampered by issues such as high data dimension, high system complexity, and low imaging processing efficiency.
Mou WANG +5 more
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Multi-Circular SAR Three-Dimensional Image Formation via Group Sparsity in Adjacent Sub-Apertures
Multi-circular SAR(MCSAR) can obtain holographic three-dimensional (3D) images of interesting observation targets, which is a significant research field at present.
Weixing Yang, Daiyin Zhu
doaj +1 more source
Review of Deep Learning for SAR 3D Imaging
With the increasing demands on imaging accuracy, efficiency, and robustness in modern three-Dimensional (3D) Synthetic Aperture Radar (SAR) imaging systems, the performance of traditional 3D imaging methods, such as matched filtering and compressed ...
Changhao LIU +3 more
doaj +1 more source

