Design of a low-cost cross-correlation system for aperture synthesis passive millimeter wave imager

Guo, Xiangzhou; Asif, Muhammad; Hu, Anyong; Miao, Jungang

doi:10.1117/12.2325517

Cited by 6 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…and analyze based on the dataset of SAIR-U are presented with YOLOv3-13 and YOLOv3-53, respectively [19]. The last part, Section 4, is the conclusion.…”

Section: Methodsmentioning

confidence: 99%

“…The experimental data were a set of images obtained by a PMMW real-time imager from Beihang University, China [19,20], which are available as the Supplementary File, with a human carrying a metal gun in each image. In order to ensure the detection accuracy and generalization ability of the model, the sample data should be diversified.…”

Section: Experimental Datasetmentioning

confidence: 99%

“…Due to the size of concealed weapons under people's clothing usually being very small, it is more difficult to identify them immediately from centimeter-level resolution PMMW images. Especially for some application scenarios and equipment with large passenger flow, a rapid recognition method of some types of concealed weapon targets on human bodies using a small sample dataset, even in no more than 3 seconds, is required to guarantee the normal speed of people's flow passing through a millimeter-wave security instrument [19,20]. This real-time detection of a small-sized target makes the task more challenging.…”

Section: Introductionmentioning

confidence: 99%

“…In Section 2, the methodology of the detection of concealed weapon on the human body based on the YOLOv3 is presented. In Section 3, the experimental results and analyze based on the dataset of SAIR-U are presented with YOLOv3-13 and YOLOv3-53, respectively [19]. The last part, Section 4, is the conclusion.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm

Pang

Liu

Chen

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

The detection of objects concealed under people’s clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required to be detected within a few seconds. Focusing on weapon detection, this paper proposes using a real-time detection method for detecting concealed metallic weapons on the human body applied to passive millimeter wave (PMMW) imagery based on the You Only Look Once (YOLO) algorithm, YOLOv3, and a small sample dataset. The experimental results from YOLOv3-13, YOLOv3-53, and Single Shot MultiBox Detector (SSD) algorithm, SSD-VGG16, are compared ultimately, using the same PMMW dataset. For the perspective of detection accuracy, detection speed, and computation resource, it shows that the YOLOv3-53 model had a detection speed of 36 frames per second (FPS) and a mean average precision (mAP) of 95% on a GPU-1080Ti computer, more effective and feasible for the real-time detection of weapon contraband on human body for PMMW images, even with small sample data.

show abstract

“…and analyze based on the dataset of SAIR-U are presented with YOLOv3-13 and YOLOv3-53, respectively [19]. The last part, Section 4, is the conclusion.…”

Section: Methodsmentioning

confidence: 99%

Section: Experimental Datasetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm

Pang

Liu

Chen

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…to deliver higher quality imagery [12]. This system would require the use of a low-cost cross-correlator capable of processing the outputs of hundreds of receiver channels with bandwidths of hundreds of megahertz as discussed in [13].…”

Section: Future Workmentioning

confidence: 99%

Spatial resolutions and field-of-views in millimetre wave aperture synthesis security screening imagers

Salmon

2018

Millimetre Wave and Terahertz Sensors and Technology XI

View full text Add to dashboard Cite

Aperture synthesis for passive millimetre wave imaging provides a means to screen people for concealed threats in the extreme near-field configuration of a walk-through portal; a regime where the imager to subject distance is of the order of both the required depth-of-field and the field-of-view. As shown here, the field-of-view in these scenarios is unlimited and the spatial resolution is slightly better than the half-wavelength Abbe microscope resolution. As in this scenario the subject would be surrounded by receiving antennas, all surfaces of the human body will be in focus with high-resolution, even at the low frequencies. For example at a frequency of 22.51 GHz the spatial resolution is in the region of ~ 7 mm. This capability is ideally suited to the aircraft security screening industry. Furthermore, the aperture synthesis imager is well suited to non-cooperate screening at longer ranges, as the antenna arrays may be deployed on almost any available surface. The field-of-view of these systems is likewise unlimited, extending from the near-field to the far-field. The spatial resolution of these systems, as here shown, is in the region of the half-wavelength resolution close to the imager, and slightly better than the Fraunhofer diffraction resolution limit at longer ranges. Therefore, also for the non-cooperate screening scenarios, the subject will always be in focus with the best possible spatial resolution allowed by the physics of imaging.

show abstract

A Wideband Low Noise Flat Gain Amplifier for Interferometric Passive Microwave Imaging System

Chen

Dilshad

et al. 2019

2019 PhotonIcs &Amp; Electromagnetics Research Symposium - Spring (PIERS-Spring)

View full text Add to dashboard Cite

Design of a low-cost cross-correlation system for aperture synthesis passive millimeter wave imager

Cited by 6 publications

References 6 publications

Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm

Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm

Spatial resolutions and field-of-views in millimetre wave aperture synthesis security screening imagers

A Wideband Low Noise Flat Gain Amplifier for Interferometric Passive Microwave Imaging System

Contact Info

Product

Resources

About