Effects of a Reflecting Background on the Results of Active MMW SAR Imaging of Concealed Objects

Bertl, Sebastian; Detlefsen, J.

doi:10.1109/tgrs.2011.2159800

Cited by 12 publications

(2 citation statements)

References 11 publications

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“…3. Strong and structure-complicated body clutter (the human body image rather than the object image) [ 49 ]. Suspicious objects do not necessarily reflect stronger than the body does due to the aspect sensitivity of the scattering reflection.…”

Section: Related Workmentioning

confidence: 99%

CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images

Meng

Zhang

Wang

2020

Sensors

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Millimeter-wave (MMW) imaging scanners can see through clothing to form a three-dimensional holographic image of the human body and suspicious objects, providing a harmless alternative for non-contacting searches in security check. Suspicious object detection in MMW images is challenging, since most of them are small, reflection-weak, shape, and reflection-diverse. Conventional detectors with artificial neural networks, like convolution neural network (CNN), usually take the problem of finding suspicious objects as an object recognition task, yielding difficulties in developing large-amount and complete sample sets of objects. In this paper, a new algorithm is developed using the human pose segmentation followed by the deep CNN detection. The algorithm is emphasized to learn the similarity with humans’ body clutter applied to training corresponding CNNs after the image segmentation base of the pose estimation. Moreover, the suspicious object recognition in the MMW image is converted to a binary classification task. Instead of recognizing all sorts of suspicious objects, the CNN detector determines whether the body part images present the abnormal patterns containing suspicious objects. The proposed algorithm that is based on CNN with the pose segmentation has concise configuration, but optimal performance in the suspicious object detection. Extensive experiments confirm the effectiveness and superiority of the proposal.

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Section: Related Workmentioning

confidence: 99%

CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images

Meng

Zhang

Wang

2020

Sensors

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“…Contemporaneously, the 3D RMA was extended for the cylindrical aperture by expanding the 3D scalar Helmholtz equation into a sum of cylindrical harmonics and backpropagating the backscatter data to the planar aperture [11]. Recently, the development of microwave imaging systems providing 3D capability has become a field of intensive research and has been reported by several authors [12][13][14][15][16][17][18][19][20][21][22][23][24]. For example, an approach to detect concealed objects has been suggested, e.g., Bertl et al [14] used interferometric Synthetic Aperture Radar (SAR) technique for imaging.…”

Section: Introductionmentioning

confidence: 99%

A Novel Spherical-Wave Three-Dimensional Imaging Algorithm for Microwave Cylindrical Scanning Geometries

Tan¹,

Hong²,

Wang³

et al. 2011

PIER

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With the increasing threat of terrorism in recent years, the detection of concealed weapons, plastic bombs and other contraband at secure locations attracts more and more countries' attention all over the world. Three-dimensional (3D) microwave imaging surveillance systems, allowing for acquisition of full 3D microwave images of human body, have been developed for security applications. In this paper, we firstly propose a 3D imaging algorithm which not only accounts for the free space propagation losses and wavefront curvature but also avoids 3D interpolation in the 3D wavenumber domain without suffering from any approximations and truncation errors. Then, the sampling constraints and the resolution issues associated with proper and alias-free implementation of the 3D reconstruction are analyzed. Finally, the focusing capabilities of our proposed imaging algorithm are investigated and verified by means of numerical simulations as well as theoretical analysis, and an approach for better displaying projected images is examined.

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Overview of Terahertz 3D Imaging Technology

Jiang

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Effects of a Reflecting Background on the Results of Active MMW SAR Imaging of Concealed Objects

Cited by 12 publications

References 11 publications

CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images

CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images

A Novel Spherical-Wave Three-Dimensional Imaging Algorithm for Microwave Cylindrical Scanning Geometries

Overview of Terahertz 3D Imaging Technology

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