Fast Three-Dimensional Image Reconstruction of a Standoff Screening System in the Terahertz Regime

Gao, Jingkun; Cui, Zhenmao; Cheng, Baolei; Qin, Yuliang; Deng, X. H.; Deng, Bin; Li, Xiang; Wang, Hongqiang

doi:10.1109/tthz.2017.2764383

Cited by 59 publications

(34 citation statements)

References 21 publications

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“…Active terahertz video surveillance is historically associated with such areas as radar and holography [39,41]. At present, in the field of active terahertz observation, it has been proposed to use the mechanical and digital beam formation [20,42,43], terahertz holography [44,45], time-of-flight terahertz tomography [46], synthesized apertures [47] to obtain information on the threedimensional surface of the object under study -49], coding apertures [50][51][52][53][54], frequency modulation of the signal [55], antennas from metamaterials [56], etc.…”

Section: Combining the Capabilities Of Thz And 3d Video: The History mentioning

confidence: 99%

Semantic Fusion and Joint Analysis of Terahertz and 3d Video Images by the Means of Object-Oriented Logic Programming

Morozov¹,

Sushkova²,

Polupanov³

et al. 2018

RENSIT

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The aim of the work is to create methods and software tools for the terahertz range intelligent video surveillance, that is, for automatic analysis of video images in the terahertz frequency range. Terahertz video surveillance provides unique prospects in the area of public safety; in particular, it allows you to remotely identify weapons and dangerous items hidden under clothing on the human body. However, such characteristics of terahertz video, as low resolution, low contrast, and low signal-to-noise ratio, lead to the need to develop new methods and approaches to automatic video analysis. To understand the terahertz video image, the operator of the industrial video surveillance system usually compares it with images in other frequency ranges (visible or infrared). The comparison of these images of different types helps the operator to interpret the colored and/ or one-color spots in the terahertz image in a proper way. In terms of automatic video analysis, this means that the context of the observed events and objects is taken into account, or in other words, a semantic fusion is implemented of the terahertz range video image with video images of other frequency ranges, e.g., near-infrared, visible, etc. The authors consider the semantic fusion of the video images as a critical component of the prospective terahertz intelligent video surveillance technology. A new method of the terahertz video surveillance based on the fusion of the terahertz video with 3D video is proposed. The means of the object-oriented logic programming developed for the semantic fusion of the terahertz and 3D video images are described. The developed method provides a real-time fusion of the terahertz video acquired using the THERZ-7A (Astrohn Technology Ltd) subterahertz scanning device (0.23-0.27 THz) and 3D video data acquired using the Kinect 2 (Microsoft Inc) time-of-flight sensor. The method and software tools for the semantic fusion of the terahertz and 3D video images are developed.

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Section: Combining the Capabilities Of Thz And 3d Video: The History mentioning

confidence: 99%

Semantic Fusion and Joint Analysis of Terahertz and 3d Video Images by the Means of Object-Oriented Logic Programming

Morozov¹,

Sushkova²,

Polupanov³

et al. 2018

RENSIT

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show abstract

“…As the ever growing of the security and NDT requirements, active THz imaging with higher data acquisition speed becomes more and more necessary, especially for real-time applications in high throughput scenarios. In recent years, many efforts have been made on THz active imaging with multi-pixel parallel detection based on transceiver arrays [13]- [18]. For example, the JPL group has integrated a small array into its FMCW radar system to improve imaging speed [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Study of the Extended Phase Shift Migration for Three-Dimensional MIMO-SAR Imaging in Terahertz Band

Gao

et al. 2020

IEEE Access

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In this paper, the extended phase shift migration (PSM) for three-dimensional (3-D) multiinput-multi-output synthetic aperture radar (MIMO-SAR) imaging in terahertz (THz) band was studied. Based on one-dimensional MIMO arrays combined with synthetic aperture scan along another dimension, MIMO-SAR imaging scheme allows the number of array elements to be greatly reduced compared with the two-dimensional (2-D) MIMO arrays. By analyzing the derived analytical expression of the scattered waves in the frequency-wavenumber domain, the MIMO-SAR data in a certain frequency is mapped to another frequency of the 'explode fields' of the monostatic form in accordance with a newly defined 3-D dispersion relations. By multiplying the modified phase shift terms in each frequency of 'explode fields', the 'explode fields' at different range planes can be reconstructed. Finally, the 'explode fields' at time t = 0 can be successfully derived to realize fast imaging reconstruction for MIMO-SAR, with great reduction on the time consuming as compared with the BP algorithm and better accuracy compared with the Stolt migration. Additionally, due to its iterative nature in the range direction, the proposed algorithm is more flexible in treating more complicated scenarios, such as the image reconstruction in the multi-layer medium. A bistatic prototype imager was designed for the proof-of-principle experiments in THz band. The 3-D imaging results of different targets and computational complexity were also given to demonstrate the good performance of the proposed algorithm for THz MIMO-SAR imaging. INDEX TERMS Terahertz (THz), three-dimensional imaging, multi-input-multi-output synthetic aperture radar (MIMO-SAR), phase shift.

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“…For example, one commonly adopted assumption is that either transmitters or receivers are evenly positioned at constant intervals. Consequently, the raw echo data can be efficiently transformed into the wavenumber domain using FFTs, which is the foundation of most wavenumber domain imaging algorithms [23]. On the other hand, optimized array topologies usually feature irregular or non-uniform array elements distributions [20].…”

Section: Introductionmentioning

confidence: 99%

Near-Field 3D SAR Imaging Using a Scanning Linear MIMO Array With Arbitrary Topologies

et al. 2020

Self Cite

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For near-field synthetic aperture radar (SAR) imaging, frequency domain imaging algorithms typically require the array elements to be uniformly arranged to facilitate the application of fast Fourier transform (FFT) operations; this greatly restricts the array types that can be used for practical applications. For arrays with non-uniformly positioned antennas, no general and efficient imaging algorithm is available yet. To address this issue, an effective algorithm for efficient three-dimensional (3D) SAR imaging with arbitrary linear multi-input-multi-output (MIMO) array topologies is proposed. Specifically, non-uniform FFT (NUFFT) technology is utilized to tackle the non-uniform sampling issues in both the spatial and the wavenumber domain. Despite the intuitive idea, to achieve satisfied imaging, some issues are non-trivial and should be carefully addressed. Both simulations and experiments show the superiority of the proposed algorithm on computational complexity while maintain the same high imaging precision compared with the back-projection algorithm (BPA). Moreover, we suggest that the concept of NUFFT-based imaging can also be generalized to other imaging regimes with arbitrary array configurations. INDEX TERMS Radar imaging, multi-input-multi-output, synthetic aperture, array topology, millimeterwave imaging.

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Fast Three-Dimensional Image Reconstruction of a Standoff Screening System in the Terahertz Regime

Cited by 59 publications

References 21 publications

Semantic Fusion and Joint Analysis of Terahertz and 3d Video Images by the Means of Object-Oriented Logic Programming

Semantic Fusion and Joint Analysis of Terahertz and 3d Video Images by the Means of Object-Oriented Logic Programming

Study of the Extended Phase Shift Migration for Three-Dimensional MIMO-SAR Imaging in Terahertz Band

Near-Field 3D SAR Imaging Using a Scanning Linear MIMO Array With Arbitrary Topologies

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