scholarly journals Three-dimensional optimal focusing imaging algorithm for wall-penetrating radar

2019 ◽  
Vol 2019 (19) ◽  
pp. 6063-6066 ◽  
Author(s):  
Yinchuan Li ◽  
Yikun Zhao ◽  
Yin Xiang ◽  
Zegang Ding ◽  
Haibo Liu ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Imaging Algorithm ◽  
Optimal Focusing

scholarly journals Three-Dimensional Imaging of Terahertz Circular SAR with Sparse Linear Array

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2477 ◽  
Author(s):  
Jubo Hao ◽  
Jin Li ◽  
Yiming Pi
Keyword(s):  
3D Imaging ◽  
Linear Array ◽  
Ground Plane ◽  
Three Dimensional ◽  
Terahertz Waves ◽  
Recovery Method ◽  
Imaging Algorithm ◽  
Imaging Geometry ◽  
Imaging Results ◽  
Sparse Linear Array

Due to the non-contact detection ability of radar and the harmlessness of terahertz waves to the human body, three-dimensional (3D) imaging using terahertz synthetic aperture radar (SAR) is an efficient method of security detection in public areas. To achieve high-resolution and all aspect imaging, circular trajectory movement of radar and linear sensor array along the height direction were used in this study. However, the short wavelength of terahertz waves makes it practically impossible for the hardware to satisfy the half-wavelength spacing condition to avoid grating lobes. To solve this problem, a sparse linear array model based on the equivalent phase center principle was established. With the designed imaging geometry and corresponding echo signal model, a 3D imaging algorithm was derived. Firstly, the phase-preserving algorithm was adopted to obtain the 2D image of the ground plane for each sensor. Secondly, the sparse recovery method was applied to accomplish the scattering coefficient reconstruction along the height direction. After reconstruction of all the range-azimuth cells was accomplished, the final 3D image was obtained. Numerical simulations and experiments using terahertz radar were performed. The imaging results verify the effectiveness of the 3D imaging algorithm for the proposed model and validate the feasibility of terahertz radar applied in security detection.

scholarly journals Three-Dimensional Ground-Based SAR Imaging Algorithm Based on Keystone Formatting and Subblock

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 90118-90131
Author(s):  
Weiming Tian ◽  
Wenyu Yang ◽  
Tongxin Dang ◽  
Zheng Zhao ◽  
Xiaoxin Han
Keyword(s):  
Three Dimensional ◽  
Imaging Algorithm ◽  
Sar Imaging

scholarly journals Tests of a novel imaging algorithm to localize hidden objects or cavities with muon radiography

2018 ◽  
Vol 377 (2137) ◽  
pp. 20180063 ◽  
Author(s):  
L. Bonechi ◽  
G. Baccani ◽  
M. Bongi ◽  
D. Brocchini ◽  
N. Casagli ◽  
...  
Keyword(s):  
Laboratory Tests ◽  
Three Dimensional ◽  
Cosmic Ray ◽  
Real Data ◽  
Test Results ◽  
Back Projection ◽  
Imaging Algorithm ◽  
Muon Radiography ◽  
Points Of View ◽  
Large Material

A novel algorithm developed within muon radiography to localize objects or cavities hidden inside large material volumes was recently proposed by some of the authors (Bonechi et al. 2015 J. Instrum. 10 , P02003 ( doi:10.1088/1748-0221/10/02/P02003 )). The algorithm, based on muon back projection, helps to estimate the three-dimensional position and the transverse extension of detected objects without the need for measurements from different points of view, which would be required to make a triangulation. This algorithm can now be tested owing to the availability of real data collected both in laboratory tests and from real-world measurements. The methodology and some test results are presented in this paper. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.

Sign in / Sign up

Export Citation Format

Share Document