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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Xiaoming Li Qinchao Huang Anhui Key Laboratory of Polarization Imaging Detection Technology Army Office Academy

ISBN: (纸本)9781509038237;9781509038220

Infrared polarization imaging detection can be used to obtain not only the polarization state but also the radiation of target. With this method, the target that traditional photometry cannot detect can be settled. The degree and angle of polarization that used in polarization detection reflect different physical properties, and it is seriously redundancy along with intensity of images. A target detection method for polarization infrared image in the background of desert is proposed in allusion to the character. A modified kernel fuzzy clustering algorithm is purposed to cluster infrared images and the polarization images. Then to distinguish target from the background, the object information of clustered infrared and polarization image were combined according to sparse fusion method. Experimental results show that the proposed detection method is lower noise and more clearly details than wavelet fusion and laplacian pyramid fusion.

关键词： infrared polarization kernel fuzzy c clustering sparse fusion pattern recognition

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Research on polarization imaging information parsing method 3

Research on polarization imaging information parsing method

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3rd International Symposium on Monitoring, Early Warning, Removal technology of Space Targets and Debris, the 4th International Conference on Frontiers in Optical imaging technology and Applications, and the 2nd International Symposium on Photoelectric Defense Technologies

作者： Yuan, Hongwu Zhou, Pucheng Wang, Xiaolong Key Laboratory of Polarization Imaging Detection Technology in Anhui Province Hefei China

ISBN: (数字)9781510607286

ISBN: (纸本)9781510607279

polarization information parsing plays an important role in polarization imaging detection. This paper focus on the polarization information parsing method: Firstly, the general process of polarization information parsing is given, mainly including polarization image preprocessing, multiple polarization parameters calculation, polarization image fusion and polarization image tracking, etc.;And then the research achievements of the polarization information parsing method are presented, in terms of polarization image preprocessing, the polarization image registration method based on the maximum mutual information is designed. The experiment shows that this method can improve the precision of registration and be satisfied the need of polarization information parsing;In terms of multiple polarization parameters calculation, based on the omnidirectional polarization inversion model is built, a variety of polarization parameter images are obtained and the precision of inversion is to be improve obviously;In terms of polarization image fusion, using fuzzy integral and sparse representation, the multiple polarization parameters adaptive optimal fusion method is given, and the targets detection in complex scene is completed by using the clustering image segmentation algorithm based on fractal characters;In polarization image tracking, the average displacement polarization image characteristics of auxiliary particle filtering fusion tracking algorithm is put forward to achieve the smooth tracking of moving targets. Finally, the polarization information parsing method is applied to the polarization imaging detection of typical targets such as the camouflage target, the fog and latent fingerprints. © 2016 SPIE.

关键词： Image registration

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Application of high adaptive models in building damage assessment: Case studies of earthquake in Turkey and hurricane in Louisiana

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Journal of Applied Remote Sensing 2025年第1期19卷

作者： Li, Pei Dong, Zhao Su, Xinyu Hu, Zhengsheng Su, Qun Wang, Huaying Zhang, Zuoheng Cao, Binghan Wang, Tao Hebei University of Engineering School of Mathematics and Physics Science and Engineering Handan China Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Handan China Hebei International Joint Research Center for Computational Optical Imaging and Intelligent Sensing Handan China China Meteorological Administration National Satellite Meteorological Center National Center for Space Weather Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites Beijing China Beijing China

Rapid damage assessment after disasters is crucial for humanitarian relief and emergency response. The abrupt and unpredictable nature of disasters causes variations in the time, location, and sensors used for image collection, resulting in significant data disparities in satellite imagery. This poses a significant challenge for assessment tasks. To enable a rapid response, training models from scratch using a sufficient amount of on-site data is impractical due to time constraints. Thus, in practical applications, a model with robust adaptability and generalization is essential for autonomously adjusting to data variations. However, the majority of current models are trained and tested on a singular dataset, neglecting the aforementioned issues. To address these challenges, this study created datasets from the Turkey earthquake with large and dense building features and introduced datasets from the Louisiana hurricane with small and sparse building features. These datasets exhibit significant style differences and cover a broader range of building characteristics, providing a comprehensive evaluation of the model's adaptability. In the building damage assessment task, the model is trained on public datasets and validated using the newly introduced scenario data. Compared with existing assessment models, the U-net model demonstrates the highest adaptability performance in objectively evaluating damage levels. © 2024 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Emergency services

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Observation of the interaction between Au− and CO2 in Au(CO2)n− anions: Physisorption as the dominant mechanism

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Journal of Chemical Physics 2025年第17期162卷 174310页

作者： Guo, Zonghui Du, Shihu Huang, Wei Zhao, Wenbao Han, Haiyan Zhao, Zhi Yan, Yongliang Fan, Zhihui Shi, Ruili Xie, Hua Jiang, Ling School of Mathematics and Physics Science and Engineering Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Hebei International Joint Research Center for Computational Optical Imaging and Intelligent Sensing Hebei University of Engineering Handan056038 China School of Chemistry and Chemical Engineering Shandong University Jinan250100 China State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian116023 China

In this study, we investigated the structure and bonding of Au(CO2)n− (n = 2, 3) using photoelectron spectroscopy analysis, quantum chemical calculations, and weak interaction analysis. Quantum chemical calculations revealed that the geometries of the physisorbed structures closely aligned with experimental data, suggesting that these configurations were the most stable under the experimental conditions. Conversely, while chemisorbed structures exhibit stronger interactions and considerable CO2 activation, they show less agreement with the observed spectroscopic data. Using the interaction region indicator method, our weak interaction analysis confirmed that van der Waals forces were the dominant interaction in the physisorbed structures. Our experimental results indicate that these physically adsorbed structures are more stable under the conditions of this study. These findings shed light on the interaction mechanisms of Au(CO2)n− (n = 2, 3) at the molecular level and provide new insights into the potential for transition metals to catalytically activate CO2 © 2025 Author(s).

关键词： Van der Waals forces

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Construction of Sea surface electromagnetic scattering model and Doppler analysis 8

Construction of Sea surface electromagnetic scattering model...

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8th Symposium on Novel Photoelectronic detection technology and Applications

作者： Zhang, Liang Yang, Fan Zu, Hongyu Province Key Laboratory of Polarization Imaging Detection Technology Anhui Province Anhui Hefei230031 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Firstly, the geometric model of linear sea surface is constructed based on linear wave theory and linear filtering method. At the same time, considering the nonlinear characteristics of sea waves, the modified model of nonlinear sea surface is introduced. By comparing the shape and statistical characteristics of nonlinear sea surface with linear sea surface, the Doppler echo spectrum of sea surface electromagnetic scattering is calculated, and the Doppler spectrum characteristics of dynamic sea surface scattering echo signals under different initial conditions are analyzed. Finally, the model simulation data are compared with the measured sea state data. The results show that the calculation results based on nonlinear sea surface are more consistent with the experimental data. © 2022 SPIE

关键词： Doppler effect

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Accurate Classification of Time-Varying Microalgae by Stokes imaging With Multiple polarization Illumination

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Han, Baohui Li, Jiajin Hu, Zheng Jiang, Feng Yang, Jianxiong Tao, Yi Liao, Ran Ma, Hui Tsinghua University Shenzhen Key Laboratory of Marine IntelliSensing and Computation Institute for Ocean Engineering Shenzhen International Graduate School Shenzhen518055 China Tsinghua University Guangdong Provincial Engineering Research Center for Urban Water Recycling and Environmental Safety Shenzhen International Graduate School Shenzhen518055 China Tsinghua University Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen International Graduate School Shenzhen518055 China

Microalgae are crucial to the global aquatic ecosystem, and their in situ accurate recognition is essential for early warning of harmful algae blooms. Based on the existing Stokes and Mueller matrix imaging methods of polarization microscope, this article introduces a method for classifying microalgae using Stokes imaging with multiple polarization illumination (SiMPI), effectively addressing the challenges of similar species (which troubles Stokes imaging) and time-varying states (which troubles Mueller matrix imaging), further enhancing the feasibility of polarization microscopy for in situ detection. The SiMPI method achieves 91.6% accuracy in classifying 29 representative harmful microalgae species. Specifically, increasing the polarization illumination number improves the classification accuracy of the eight lowest performing species to 86.3%. Field data from coastal waters show recognition accuracy exceeding 95%. The study highlights that high imaging resolution, optimal polarization illumination combinations, and balanced databases enhance the SiMPI method’s performance. After quantifying the time variation of microalgal cells, it is convincingly demonstrated that the SiMPI method outperforms Mueller matrix imaging. These findings underscore the SiMPI method’s potential as a feasible and robust tool for future aquatic environment monitoring. © 2025 IEEE. All rights reserved.

关键词： Microalgae

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Neural Networks and Chemical Messengers: Insights into Tobacco Addiction

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Brain topography 2025年第4期38卷 42页

作者： Jieping Sun Qingqing Lv Jinghan Dang Mengzhe Zhang Qiuying Tao Yimeng Kang Longyao Ma Bohui Mei Weijian Wang Shaoqiang Han Jingliang Cheng Yong Zhang Department of Magnetic Resonance Imaging the First Affiliated Hospital of Zhengzhou University Zhengzhou China. Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. Key Laboratory of Imaging Intelligence Research medicine of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. Department of Radiology the Third Affiliated Hospital of Zhengzhou University Zhengzhou China. Department of Magnetic Resonance Imaging the First Affiliated Hospital of Zhengzhou University Zhengzhou China. zzuzhangyong2013@***. Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. zzuzhangyong2013@***. Key Laboratory of Imaging Intelligence Research medicine of Henan Province the First Affiliated Hospital of Zhengzhou University Zhengzhou China. zzuzhangyong2013@***. Department of MRI the First Affiliated Hospital Zhengzhou University No. 50 Jianshe East Road Zhengzhou Henan Province 450052 China. zzuzhangyong2013@***.

This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (TA) and whether these changes reflect alterations in neurotransmitter systems. A total of 90 patients with TA and 46 healthy controls (HCs) matched for age, education, and body mass index undergo functional magnetic resonance imaging (fMRI) scans. Independent component analysis (ICA) is employed to extract RSNs based on a customized network template using the HCP ICA MATCHING toolbox. Additionally, a correlation study is conducted to examine the relationship between changes in functional connectivity (FC) within RSNs and positron emission tomography and single photon emission computed tomography-derived maps, aiming to identify specific neurotransmitter system changes underlying abnormal FC in TA. Compared to HCs, the TA group exhibits decreased FC values in the left precentral gyrus of the sensorimotor network B and in the right calcarine of the visual network B. Furthermore, changes in FC within the visual network B are associated with the 5-hydroxytryptamine system (1a) and opioid receptor system (Kappa) maps. Post-hoc power analysis confirms the adequacy of the sample size, with effect sizes (d) all greater than 0.9, supporting the robustness of the findings. Patients with TA show reduced intranetwork connectivity in the sensorimotor network B and visual network B, which may reflect underlying molecular changes. These findings improve understanding of the neurobiological aspects of TA.

关键词： Independent Component Analysis Magnetic Resonance imaging Resting-state Network Sensorimotor Network Tobacco Addiction Visual Network

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An alternative application of GaAs-based light-emitting diodes: X-ray detection and imaging

arXiv

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arXiv 2025年

作者： Yu, Quan Wang, Fangbao Yuan, Xin Liu, Ying Gan, Lianghua Xu, Gangyi Shen, Wenzhong Chen, Liang Zhang, Yueheng Key Laboratory of Artificial Structures and Quantum Control School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Radiation Detection Research Center Northwest Institute of Nuclear Technology Xi’an710024 China Key Laboratory of Infrared Imaging Materials and Detectors Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China

GaAs-based light-emitting diodes (LEDs) are commonly employed in a variety of applications, including medical imaging, biosensing, optical communications, and night vision. In this paper, we present an alternative application of GaAs-based LED with SI-GaAs substrate for X-ray detection and imaging. The mechanism relies on the semiconductor frequency down-conversion process, where the SI-GaAs substrate acts as a photodetector (PD). Upon X-ray irradiation, the generated photocurrent by the SI-GaAs substrate drives the LED to emit NIR photons which can be detect by a low-cost CCD. We demonstrate direct X-ray detection and present preliminary imaging results, providing another example of the applicability of the PD-LED design for optical frequency conversion. The proposed LED X-ray detector leverages mature materials and fabrication processes. The application of the frequency down-conversion concept makes it possible for pixel-less imaging using a large single imaging unit, eliminating the need for readout circuits. This PD-LED architecture offers an alternative approach to direct X-ray detection and imaging, characterized by higher absorption, improved image resolution, and enhanced material stability. Copyright © 2025, The Authors. All rights reserved.

关键词： III-V semiconductors

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Research on polarization bidirectional reflectance characteristic of metal paint surfaces 3

Research on polarization bidirectional reflectance character...

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作者： Liu, Xiao Wang, Feng Wu, Yunzhi Wang, Xiaolong Key Laboratory of Polarization Imaging Detection Technology Anhui Province Army Officer Academy of PLA Anhui Hefei230031 China

ISBN: (数字)9781510607286

ISBN: (纸本)9781510607279

Artificial target has the characteristics of stronger polarization, which is found in the process of researching polarization remote sensing. So the polarization characteristics of artificial target has become one of the highlights in the research of the polarization remote sensing. Metal coating target is a kind of typical artificial target, previous studies have found that metal coating target polarization reflection characteristics vary with the condition of different observation angle and incidence angle, and the difference of polarization characteristics greatly impact the derivation and accuracy of metal material surface. In order to research the characteristics of metal coating surface bidirectional reflectance polarization, this measurement experiment set up four observation azimuth angle and nine observation zenith *** the basis of the measured data by using the semi-empirical model for data fitting, then get the data of metal coating target hemisphere space distribution of polarization reflection characteristics. This paper analyzes the relationship between target surface polarization degree and observation azimuth angle, observation zenith angle, which provides theory and data support for the derivation of typical artificial target structure features. © 2016 SPIE.

关键词： Metals

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Infrared polarization image fusion and detection system for ship target 7

Infrared polarization image fusion and detection system for ...

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2020 7th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2020

作者： Tuo, Haonan Shi, Guochuan Luo, Xiaolin Army Artillery and Air Defense Academy Heifei China Anhui Province Key Laboratory of Polarization Imaging Detection Technology Hefei China

In order to realize the fusion and detection of ship targets, infrared polarization image fusion and detection technology is adopted in this paper, and a design scheme of infrared polarization image fusion and detection system based on ship targets is proposed, which solves the key technologies such as processing system and fusion and detection algorithm, and the image detection rate is high. The proposed system can be used as a laboratory standby system. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Image fusion

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