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10th Symposium on Novel Optoelectronic detection technology and Applications

作者： Jie, Cao Chenyu, Xu Sirui, Guo Bin, Han Qun, Hao School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Zhejiang Jiaxing314003 China National Key Laboratory on Near-Surface Detection Beijing100072 China Changchun University of Science and Technology Jilin Changchun130022 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

With the widespread application of 3D point clouds in various fields such as remote sensing reconnaissance and intelligent driving, the demand for efficient point cloud processing technology is increasingly growing. This paper introduces a resolution-adaptive processing method inspired by bionic vision, which simulates the human visual system's ability to focus on regions of interest (ROI) while maintaining high resolution in the ROI areas and reducing the resolution of surrounding areas. First, deep learning technology is utilized to construct an ROI detection network capable of identifying key targets within the point cloud. Subsequently, a bionic dynamic resolution processing based on the region of interest is applied to reconcile the contradiction between resolution and data volume. Finally, we propose a bionic retinal mechanism for 3D target recognition, and the results demonstrate that this method significantly improves the processing speed and target recognition accuracy in the field of 3D point cloud target identification. This study provides a new technical approach for 3D point cloud data processing, offering favorable support for technological advancements and application expansion in related fields of 3D point clouds. © 2025 SPIE.

关键词： 3D point cloud 3D target recognition Intelligent driving Resolution-adaptive processing

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Rapid detection of Deformable Mirrors Based on Phase Measuring Deflectometry 10

Rapid Detection of Deformable Mirrors Based on Phase Measuri...

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10th Symposium on Novel Optoelectronic detection technology and Applications

作者： Li, Zhaoyang Wang, Shanshan Zhou, Shuhong Zhang, Nansheng Fu, Tao Hao, Qun National Key Laboratory on Near-Surface Detection Beijing100072 China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Shanghai Aerospace Control Technology Institute Shanghai201109 China School of Opto-Electronic Engineering Changchun University of Science and Technology Changchun130022 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

Deformable mirrors play a critical role in adaptive optics systems, and as the precision demands of optical systems continue to rise, the accurate detection of deformable mirror shape and performance becomes essential to the overall system's effectiveness. Improved detection methods can significantly enhance the design quality and manufacturing precision of deformable mirrors. In this paper, we introduce a phase measuring deflectmetry that directly measures slope variations to detect the surface deformation of deformable mirrors. To further enhance measurement accuracy, monitoring stations are integrated into the system. We conducted measurements on a 100mm-diameter deformable mirror, and through comparisons of simulation and experimental results, we verified that the system provides high measurement accuracy and real-time monitoring of dynamic error influences. This system is well-suited for long-term monitoring of surface changes in deformable mirrors. © 2025 SPIE.

关键词： Adaptive optics

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A non-contact flexible pyroelectric sensor for wireless physiological monitoring system

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science China(Information sciences) 2022年第2期65卷 162-172页

作者： Jian HE Sen LI Xiaojuan HOU Yongjun ZHOU Hao LI Min CUI Tao GUO Xiangdong WANG Jiliang MU Wenping GENG Xiujian CHOU Science and Technology on Electronic Test and Measurement Laboratory North University of China Science and Technology on Near-Surface Detection Laboratory China Institute of Sport Science

Recently, human physiological information wireless monitoring in real-time is particularly important in health analysis. As a solution, a non-contact wireless physiological monitoring system based on pyroelectric generator(Py G), whose core part consists of a wireless circuit processing module and a polyvinylidene fluoride(PVDF) film, has been successfully designed. Owing to the temperature change under the stimulation of an external heat source, the output voltage of the Py G self-powered flexible sensor increases with the heat source temperature variation in the range of 295–355 K. Furthermore, based on the natural temperature oscillation between the living body and surrounding environment, the sensor can realize human physiological information assessment, for example, temperature monitoring of the palms, fingers, respiratory heat signals from mouth or nose or non-contact spatial heat mapping recognition of finger movement via sensor array. On this basis, a portable wireless monitoring system was designed by integrating the intelligent sensor with a signal conditioning circuit, data conversion storage module, Bluetooth module,and power module. This system can acquire real-time human oral or nasal breathing signals in the personal mobile app to evaluate the physiological state of individuals. Additionally, the wireless monitoring system can be activated within 10 m, demonstrating the application of Py G sensors in remote data transmission.

关键词： non-contact pyroelectric generator human body heat environmental thermal energy wireless monitoring system

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Research on subaperture stitching and absolute measurement technique for large rectangular plane mirrors 11

Research on subaperture stitching and absolute measurement t...

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Optical Metrology and Inspection for Industrial Applications XI 2024

作者： Zhang, Shaoteng Hu, Yao Hao, Qun Wang, Zhen Yang, Lixin School of Optics and Photonics Beijing Institute of Technology Beijing100081 China National Key Laboratory on Near-Surface Detection Beijing10012 China Beijing Institute of Space Mechanics and Electricity Beijing100094 China

ISBN: (纸本)9781510682108

Large rectangular plane mirrors are widely used in high-power laser systems and synchrotron radiation sources, their surface precision affecting optical system performance. High-precision measurement methods are required to match these mirrors. The oblique incidence absolute measurement technique based on the rotational averaging method is a commonly method for these mirrors. But this method is complex, requires two additional plane mirrors. And it is limited by the angle of incidence, making it impossible to achieve both large aperture and high-resolution measurement simultaneously. Moreover, the method requires disassembling the test mirror during measurement, which significantly complicates the setup and adjustment process. Addressing the aforementioned shortcomings, this paper presents a high-precision measurement method for large rectangular plane mirrors. This method combines subaperture stitching techniques with the absolute measurement approach using the double shear translation method. It divides the test mirror into multiple overlapping subapertures and applies the double shear translation method to conduct absolute measurement on each subaperture region sequentially. Subsequently, employs algorithm to stitch the results together to achieve a complete surface. This method balances large aperture and high-resolution measurement, eliminates the influence of the reference surface. During the measurement process, only translations of the test mirror are required, making setup and adjustment relatively straightforward. Experimental validation of this method has demonstrated its ability to achieve high-precision measurement of rectangular plane mirrors. This paper presents an effective approach for high-precision measurement of large rectangular plane mirrors. © 2024 SPIE.

关键词： Optical systems

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Multi-camera wide field-of-view compound eye imaging system 11

Multi-camera wide field-of-view compound eye imaging system

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Optoelectronic Imaging and Multimedia technology XI 2024

作者： Qiao, Zhibo Hao, Qun Liu, Mengyao Wei, Jiale Cheng, Yang Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy Beijing Institute of Technology Jiaxing314019 China National Key Laboratory on Near-Surface Detection Beijing100072 China

ISBN: (纸本)9781510682061

With the rapid development of security surveillance and autonomous driving, the demand for wide field-of-view imaging is increasingly growing. Traditional wide field-of-view (FOV) single-camera systems often suffer from significant distortion, making it challenging to achieve comprehensive environmental perception. Compound eyes, with tightly packed multiple sub-eyes, have the advantages of being compact, lightweight, and possessing a wide FOV with high sensitivity to moving targets. This paper analyzes the characteristics of wide FOV imaging of biomimetic compound eyes and integrates the imaging features of multiple cameras to design a multi-camera imaging system based on a biomimetic compound eye imaging system. The proposed system comprises nine cameras with a resolution of 640×480 arranged in a spherical multi-row configuration to emulate the compound eye structure. Given that feature matching significantly impacts the effectiveness of video stitching, we analyze and compare existing typical feature-matching algorithms from the aspects of both matching accuracy and robustness. Consequently, we employ the LightGlue on top of SuperPoint features for feature point matching to ensure the accuracy of subsequent video stitching. Through imaging experiments, the results demonstrate that this video stitching algorithm achieves satisfactory stitching results with minimal mismatches. The proposed multi-camera wide field-of-view compound eye imaging can realize wide wide-field imaging of 170°×120°with 8 frames per second. © 2024 SPIE.

关键词： Imaging systems

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The Influence of Environmental Radiation on the Infrared Characteristics of Low Emissivity surface 5

The Influence of Environmental Radiation on the Infrared Cha...

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5th International Conference on Optoelectronic science and Materials, ICOSM 2023

作者： Lv, Xiangyin Wang, Yahui Chen, Zongsheng Li, Zhigang Shi, Jiaming Anhui Provincial Laboratory of Advanced Laser Technology National University of Defense Technology Hefei230037 China Science and Technology on Near-Surface Detection Laboratory Wuxi214000 China State Key Laboratory of Pulsed Power Laser Technology National University of Defense Technology Anhui Hefei230037 China Anhui Provincial Key Laboratory of Infrared and Low Temperature Plasma Hefei230037 China

ISBN: (纸本)9781510674547

Low emissivity coatings or thin film materials are currently the main technical means for achieving infrared stealth. Due to the high reflectivity of low emissivity surfaces, environmental radiation such as solar radiation and ground radiation may have a significant impact on the effective infrared radiation of low emissivity surfaces. In response to the current research on low emissivity surface infrared radiation mainly limited to its suppression of self radiation, and the lack of information on the impact of environmental radiation on its effective radiation, starting from establishing a general infrared feature model that includes self emitted reflected environmental radiation, the focus is on deriving the effects of solar radiation and ground radiation on low emissivity surfaces in two atmospheric infrared windows 3-5 μm-band and 8-14 μm. The influence model of effective infrared radiation in the 3-5 μm-band has been calculated and experimentally verified. The results indicate that solar radiation and ground radiation have an impact on low emissivity materials in the mid infrared region of 3-5 μm-band and far Infrared 8-14 μm. The impact of effective infrared radiation in the two bands is different and is related to factors such as ground temperature, the angle between the target surface and the ground, the atmospheric transmittance of solar radiation, and the angle of solar incidence. In general, reducing the emissivity of a surface can reduce its effective infrared radiation, which is beneficial for achieving infrared stealth. However, there are two common exceptions that make using low emissivity materials not a good way to achieve infrared stealth. One is that when the surface temperature of the target is below 60 ℃, due to the influence of solar radiation, reducing reflectivity in the 3-5 μm-band may actually enhance its effective radiation. That is a challenge to the targets in the background of low and normal temperatures during a clear day range to real

关键词： Infrared radiation

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A Hyperspectral Nonlinear Unmixing Network for nearshore Underwater Target detection

A Hyperspectral Nonlinear Unmixing Network for Nearshore Und...

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Artificial Intelligence, Networking and Information technology (AINIT), International Seminar on

作者： Jiaxuan Liu Jiahao Qi Ping Zhong Junhe Jiang Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Changsha China Science and Technology on Near-Surface Detection Laboratory Wuxi China

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

The existing hyperspectral underwater target detection algorithms are ineffective in adapting to nearshore environments, owing to the difficulty of extracting target signals from cluttered nearshore backgrounds combined with weak target signals. To this end, hyperspectral unmixing (HU) is well suited in this paper for nearshore underwater target detection (UTD) task to address these issues, by extracting background endmembers and separating out weak target signals simultaneously. Specifically, we propose a novel nonlinear unmixing network for nearshore underwater target detection (NUN-UTD). It comprises an unsymmetrical autoencoder and a target prior preservation module to adapt to the complex nearshore environment. Experiments demonstrate that NUN-UTD achieves the best detection performances and visual results compared with other state-of-the-art methods.

关键词： Seminars Visualization Object detection Task analysis Information technology Artificial intelligence

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Research on multi-layer lobster eye detection technology 10

Research on multi-layer lobster eye detection technology

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10th Symposium on Novel Optoelectronic detection technology and Applications

作者： Ji, Fan Wang, JunYa Chang, Jun Zhang, YunQiang Key Laboratory of Photoelectronic Lmaging Technology and System of Ministry of Education of China School of Optics and Photonics Beijng Institute of Technology Beijng100081 China National Key Laboratory on Near-surface Detection Beijing100072 China National Key Laboratory of Air-based Information Perception and Fusion Luoyang471009 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

This paper focuses on the imaging technology of multi-layer lobster vision system based on infrared band, aiming to develop a multi-layer lobster eye coordination optical system that can improve the energy concentration. By designing the structure of the lobster eye lens and using the ray tracing software for simulation analysis, the energy concentration of the center of the cross focal spot generated by the lens is analyzed in detail. The optical system of multi-layer lobster eye lens is also designed to achieve the goal of increasing the energy concentration of the system. The whole study not only optimizes the performance of the optical system, but also provides an important theoretical and practical basis for the future application of bionic optical systems. © 2025 SPIE.

关键词： Ray tracing

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UAV-Borne Landmine detection via Intelligent Multispectral Fusion 4

UAV-Borne Landmine Detection via Intelligent Multispectral F...

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4th International Conference on Applied Machine Learning, ICAML 2022

作者： Guo, Hangfu Jiang, Hejun Hu, Jun Luo, Chaopeng School of Electronics and Communication Engineering Sun Yat-Sen University Shenzhen518107 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9781665462655

Compared with traditional landmine detection methods, the unmanned aerial vehicle borne measure is more suitable for rapidly detecting large-area minefields of scatterable landmines. We propose a multispectral fusion strategy based on a deep learning model to facilitate landmine detection. With a UAV-borne multispectral cruise platform, we set up a multispectral dataset of scatterable landmines, where varieties of minefields with different ground vegetation environments are considered. The proposed technique includes a structure with adjustable weights to fulfill the fusion and refinement, and maximize the utilization of multispectral information. Experimental comparisons of the predictions before and after fusion demonstrate that our proposed fusion strategy can improve the recall rate and achieve significant gains over single-spectrum detection, especially for the occluded mines, and confirm the feasibility of the multispectral data with reasonable processing for the landmine detection. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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A compact air-coupled SFCW ground penetrating radar and its application in the earthen sites 20

A compact air-coupled SFCW ground penetrating radar and its ...

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20th International Conference on Ground Penetrating Radar, GPR, 2024

作者： Ye, Shengbo Li, Xu Li, Xinhui Liu, Xiaojun Fang, Guangyou Jiang, Hejun Lyu, Rongqi Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Key Laboratory of Electromagnetic Radiation and Sensing Technology Chinese Academy of Sciences Beijing100190 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China Science and Technology on Near-surface Detection Laboratory Wuxi214035 China

As a non-destructive testing technology, ground-penetrating radar (GPR) has been widely used in archaeological investigations of the earthen sites. Traditionally, a GPR antenna is ground-couple. It is attached to the measured object and thus may cause damage to the earthen sites. This paper develops a lightweight and compact air-coupled stepped frequency continuous waveform (SFCW) GPR system with frequency range from 1GHz up to 6GHz. We suppress the nonlinear variables of the radar system by calibration. And we perform tests on different weathering samples from the earthen sites. Our system is verified that can discriminate layered structures in samples and the results of tests are consistent with the simulations of the gprMax model. In general, this radar system can assess the weathering degree and provide technical support for the preservation of the earthen sites. © Published under licence by IOP Publishing Ltd.

关键词： Antenna grounds

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