Prof. Yayun Cheng
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Academic Career Length
11Years (2016-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications3 March 2021 in Optics Letters
Journal Article
Yayun ChengLQLingbo Qiao
Lingbo Qiao
DZDong Zhu
Dong Zhu
YWYingxin Wang
Yingxin Wang
ZZZiran Zhao
Ziran ZhaoPassive millimeter and terahertz wave imaging is a powerful way for personnel security inspection and scene monitoring. The existing systems usually have a single polarization mode. To obtain more information, polarimetric imaging has been preliminarily explored recently. However, there is no work exhibiting high-performance polarimetric imaging to analyze and interpret polarization characteristics. In this Letter, we report on the development of a W-band passive polarimetric imaging system for human body screening and present the polarization characteristics analysis of several typical scenarios. The experimental system has a spatial resolution of better than 2 cm at 2.5 m distance and has a thermal sensitivity of better than 0.3 K. The system can display polarization properties of human bodies and concealed objects. The experimental results demonstrate that passive polarimetric imaging has a great potential for object contrast enhancement, detection, segmentation, and recognition.
19 February 2020 in Optics Express
Journal Article
Passive millimeter and terahertz wave imaging has become a significant potential technique for human security check and scene monitoring. Due to the small difference of the brightness temperatures between human body and concealed objects, the temperature sensitivity and spatial resolution of radiometers are always the key performance indexes which are difficult to improve. Therefore, when the hardware performance is given, improving detectivity becomes a pressing need. In this paper, a physically-based concealed object enhancement method using multi-polarization information is presented. The polarization model and polarization property of human body and concealed objects have been analyzed. By fusing multiple polarization images, we can obtain a complete polarization image in which the contrast between human body and concealed objects is enhanced and stable. The experimental results of simulation and measurement demonstrate the enhancement performance, and Differential Signal Noise Ratio (DSNR) is obviously improved by using the proposed method.
29 December 2022 in IEEE Transactions on Microwave Theory and Techniques
Journal Article
Yayun ChengXTXun Tian
Xun TianDZDong Zhu
Dong ZhuLWLiang Wu
Liang WuLZLi Zhang
Li Zhang
JQJinghui Qiu
Jinghui Qiu
+1
Passive millimeter-wave (PMMW) imaging is a powerful approach for detecting hidden objects underneath clothing. The theoretical basis of object detection methods is the contrast of brightness temperature (TB) image. TB differences may be caused by the diversity of material, physical temperature, surface structure, and so on. Existing methods are mainly based on single-polarization and single-pixel processing, which usually generate many discrete pixels of false alarms or missing detections. In this article, we present a regional-based method for hidden object detection using polarization and Fisher vector (FV) features. The necessity of polarization averaging for detection is revealed by theoretical simulation and experimental analyses. Based on the superpixel segmentation of polarization mean image, a modified FV, regional mean FV (RMFV), is created to extract concealed object features. Various imaging experimental data of typical security inspection scenarios are applied to verify the proposed method. The robustness and effectiveness are proved by comparing with several state-of-the-art methods.
20 January 2021 in IEEE Transactions on Geoscience and Remote Sensing
Journal Article
Yayun ChengYYYan You
Yan You
DZDong Zhu
Dong ZhuYWYingxin Wang
Yingxin Wang
ZZZiran Zhao
Ziran Zhao
Passive millimeter-wave and terahertz (MMW/THz) imaging is a significant technique used in personal security inspection and scene surveillance. However, a human body generally generates an obvious reflection on the floor, which may have negative influences on target detection and observer vision. In this article, we present a physically based method using dual-polarization feature and saliency information to solve the problem of reflection removal. The physical principle of a special dual-polarization phenomenon has been revealed by theoretical calculation and simulation analysis. By combining the second Stokes parameter (TQ) and modified linear polarization ratio (mLPR), a new feature parameter has been created to extract reflections of human bodies. By using a saliency analysis, the false positive alarms are eliminated completely. The experimental results demonstrate the robustness and effectiveness of the proposed method using various measured MMW/THz images.
18 March 2024 in IEEE Transactions on Industrial Informatics
Journal Article
Yayun ChengLZLi Zhang
Li ZhangDGDalu Guo
Dalu GuoNWNan-Nan Wang
Nan-Nan WangJQJiaran Qi
Jiaran QiJQJinghui Qiu
Jinghui QiuPassive millimeter-wave imaging is one of the most important approaches for personnel security inspection to detect concealed objects hidden under clothing. Many imaging systems have been constructed and tried out experimentally in various real scenarios. However, plenty of imaging results show that some hidden objects placed on the body edge areas may have low contrast and are difficult to detect. There are different contrasts in different polarization images. In this article, we propose a physically-based subregional polarization fusion method by modulating multipolarization information to enhance the contrast between edge objects and the body background. The physical model and polarization properties of edge objects are investigated by theoretical calculation and simulation analysis. By dividing the body area into four typical subregions based on the second and third Stokes components ( $T_{Q}$ and $T_{U}$ ), four linear polarization images are automatically fused to directly generate an enhancement image. Without complicated parameter adjustment, the proposed method can adaptively realize the global optimal contrast by fusing the local optimal regions of different polarization images at the pixel level. Simulation and measurement results demonstrate the effectiveness of the method. By comparing with three traditional fusion methods, differential signal noise ratio, receiver operating characteristic curve, and segmentation metric are utilized to quantitatively evaluate the superior performance of our fusion method.
25 July 2018 in Optics Express
Journal Article
Polarimetric passive millimeter-wave (PMMW) measurements can provide additional information about scenes. We report on the development of a 94GHz Multi-Polarization Scanning Imaging Radiometer (MPSIR) for outdoor imaging applications, and the polarization characteristic analysis of experimentally acquired images. The imager angular resolution is measured to be 0.37°, and the thermal sensitivity is about 0.46K. Multi-polarization measurements are realized by rotating the detector around the observation axis direction. Several outdoor complex scenes are selected to passive image, which include the outdoor parking lot and the dormitory buildings in the woods. Various polarization parameter images are generated to analyze the polarization characteristics. Based on the multi-polarization imaging, eight more polarization parameters are created and they are all have the special distribution properties. The experimental results indicate that the multi-polarization imaging and the modified polarization parameters have the great potential for three-dimensional reconstruction, edge detection and image segmentation.
About Me
Prof. Dr. Yayun Cheng is a researcher, doctoral supervisor, and master’s supervisor at the School of Electronics and Information Engineering, Harbin Institute of Technology. He holds a Bachelor of Science degree in Applied Physics from Hefei University of Technology and a Master of Engineering and Doctor of Engineering degree in Electromagnetic Fields and Microwave Technology from Huazhong University of Science and Technology. He was previously a postdoctoral researcher and assistant researcher at the Department of Engineering Physics at Tsinghua University. His main research areas are electromagnetic wave imaging modeling and intelligent detection technology, covering multiple spectrums including microwave, millimeter wave, and terahertz. He is a Senior Member of IEEE, a Senior Member of the Chinese Institute of Electronics, and a member of the Microwave Technology Committee of the China Institute of Communications. He serves as a youth editorial board member for the Journal of Radio Science and the Journal of Test Technology, a guest editor for journals such as IEEE TMTT and the Journal of Radar, and a reviewer for journals such as IEEE TIE/TGRS/TAP, AOM, LPR, and APL.