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Structural Damage detection and Localization Using Response Difference Transmissibility

Journal of Shanghai Jiaotong university(Science) 2024年第6期29卷 1126-1138页

作者： WANG Zengwei DING Lei Shanghai Institute of Technical Physics Key Laboratory of Infrared System Detection and Imaging TechnologyChinese Academy of SciencesShanghai 200083China

In this paper,a novel method is proposed for structural damage detection and *** key of the proposed method is the use of the response difference transmissibility(RDT)for damage *** RDT is defined to relate response differences of the system to be evaluated and those of the original *** invariance properties of RDT are also *** on this,a damage indicator is proposed,and the benefits are verified by a numerical ***,the proposed method is illustrated and validated by finite element simulations and experimental case studies.

关键词： damage detection damage localization transmissibility mechanical vibrations

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Introduction of high-speed data acquisition system scheme based on FPGA 3

Introduction of high-speed data acquisition system scheme ba...

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3rd International Conference on Electronic Information Engineering and Data Processing, EIEDP 2024

作者： Lin, Yinghui Xu, Zhijing Sun, Jun Chen, Ren College of Information Engineering Shanghai Maritime University Shanghai China Shanghai Institute of Technical Physics State Key Laboratory of Infrared Physics Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781510680531

Signal acquisition system is widely used in various fields of reality, due to the data acquisition rate and processor performance enhancement as well as the development of sensor arrays and other technologies, the data acquisition system acquisition and transmission of the signal is exponential growth, in order to solve the high-speed signal acquisition process of the large amount of data, real-time, transmission rate and other issues, the study of high-speed acquisition of signals as well as the transmission program has an important practical significance. FPGA is very suitable to be applied in high-speed signal acquisition system because of its characteristics. In this paper, we firstly introduce the composition of a typical high-speed signal acquisition system based on FPGA, and then briefly introduce the function and development process of each module of the system and introduce the mainstream programs used in several key modules. In engineering applications, different programs should be used in different modules in conjunction with the actual. © 2024 SPIE.

关键词： Field programmable gate arrays (FPGA)

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Optical processing strategies for micro-imaging small-aperture Wolter mirrors 7

Optical processing strategies for micro-imaging small-apertu...

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7th Global Intelligent Industry Conference, GIIC 2024

作者： Li, Yaran State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China

ISBN: (纸本)9781510682986

The Wolter microscope, characterized by its high spatial resolution, large geometric solid angle, and broadband achromatic correction, serves as an ideal initial configuration for the next generation of X-ray imaging diagnostic techniques. Nevertheless, the development of small-aperture Wolter mirrors encounters significant challenges, which primarily hinder their widespread application. This article presents a design approach for micro-imaging small-aperture Wolter microscopes, considering both optical design principles and mirror preparation techniques. It reveals the intricate trade-off relationships among spatial resolution, collection efficiency, and the feasibility of optical processing. By effectively integrating optical principles with manufacturing practices, a staged development roadmap for small-aperture Wolter mirrors is proposed. Through technological convergence, the electroforming nickel preparation process can be gradually mastered. This article provides technical insights that can guide the design and development of high-quality hard X-ray Wolter microscopes. © 2024 SPIE.

关键词： Mirrors

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Normalized LMS adaptive filter algorithm: principles and verilog HDL implementation 4

Normalized LMS adaptive filter algorithm: principles and ver...

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4th International Conference on Electronic Information and Communication Engineering, EICE 2025

作者： Wang, Haoxu Li, Bingjie Liu, Ming Yang, Dezhen Chen, Zhijie Liu, Xu Wan, Peiyuan Beijing Embedded System Key Lab School of Information Science and Technology Beijing University of Technology Beijing China National Key Laboratory of Infrared Detection Technologies Beijing China

This article offers a detailed exploration of the Normalized Least Mean Squares (NLMS) algorithm, highlighting its enhanced adaptive filtering capabilities and robust performance in managing input signal correlations. It delves into the foundational principles of the NLMS algorithm and outlines the essential modules required for its implementation in Verilog HDL. The implementation and simulation of the NLMS adaptive filter are studied. The simulation outcomes indicate that the convergence rate of the algorithm is superior to that of the conventional LMS algorithm. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Adaptive filtering

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infrared small target detection based on spatial attention density peaks searching

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Optoelectronics Letters 2025年第2期21卷 90-96页

作者： RAO Junmin LU Siyu LIU Shijian LI Fanming CAS Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical PhysicsShanghai 200083China University of Chinese Academy of Sciences Beijing 100049China Shanghai Institute of Technical Physics Chinese Academy of SciencesShanghai 200083China School of Information Science and Technology ShanghaiTech UniversityShanghai 201210China

The detection of small targets poses a significant challenge for infrared search and tracking (IRST) systems,as they must strike a delicate balance between accuracy and *** this paper,we propose a detection algorithm based on spatial attention density peaks searching (SADPS) and an adaptive window selection ***,the difference-of-Gaussians (DoG) filter is introduced for preprocessing raw infrared ***,the image is processed by ***,an adaptive window selection scheme is applied to obtain window templates for the target scale ***,the small target feature is used to enhance the target and suppress the ***,the true targets are segmented through a *** experimental results show that compared with the seven state-of-the-art small targets detection baseline algorithms,the proposed method not only has better detection accuracy,but also has reasonable time consumption.

关键词： template searching infrared

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Atmospheric Pollution Monitoring Based on Fourier Transform infrared Spectrometer 2

Atmospheric Pollution Monitoring Based on Fourier Transform ...

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2nd International Conference on Optical imaging and Measurement, ICOIM 2023

作者： Sun, Jun Xu, Zhijing Lin, Yinghui Chen, Ren Wang, Zhanhu Shanghai Maritime University College of Information Engineering Shanghai China Shanghai Institute of Technical Physics State Key Laboratory of Infrared Physics Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9798350358636

Air pollution has serious impacts on human health and the environment, thus accurate monitoring and analysis of air pollutants is of vital importance. As an efficient monitoring technology, the Fourier Transform infrared Spectrometer has played a wide role in the study of air pollution. This paper elaborates on the basic principles and working mechanisms of the Fourier Transform infrared Spectrometer and discusses the important role in air pollution monitoring, also analyzes the development trend of the Fourier Transform infrared Spectrometer in air monitoring. © 2023 IEEE.

关键词： Air pollution

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infrared aircraft few-shot classification method based on cross-correlation network

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红外与毫米波学报 2025年第1期44卷 103-111页

作者： HUANG Zhen ZHANG Yong GONG Jin-Fu Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of SciencesShanghai 200083China University of Chinese Academy of Sciences Beijing 100049China Shanghai Institute of Technical Physics Chinese Academy of SciencesShanghai 200083China

In response to the scarcity of infrared aircraft samples and the tendency of traditional deep learning to overfit,a few-shot infrared aircraft classification method based on cross-correlation networks is *** method combines two core modules:a simple parameter-free self-attention and *** analyzing the self-correlation and cross-correlation between support images and query images,it achieves effective classification of infrared aircraft under few-shot *** proposed cross-correlation network integrates these two modules and is trained in an end-to-end *** simple parameter-free self-attention is responsible for extracting the internal structure of the image while the cross-attention can calculate the cross-correlation between images further extracting and fusing the features between *** with existing few-shot infrared target classification models,this model focuses on the geometric structure and thermal texture information of infrared images by modeling the semantic relevance between the features of the support set and query set,thus better attending to the target *** results show that this method outperforms existing infrared aircraft classification methods in various classification tasks,with the highest classification accuracy improvement exceeding 3%.In addition,ablation experiments and comparative experiments also prove the effectiveness of the method.

关键词： infrared imaging aircraft classification few-shot learning parameter-free attention cross attention

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Evaluation of occlusion immunities of free-space orbital angular momentum shift keying

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Optics Express 2025年第6期33卷 13494-13505页

作者： Yang, Jinyu Zhang, Shurui Li, Lang Gao, Mingwei Gao, Chunqing Fu, Shiyao School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Key Laboratory of Information Photonics Technology Ministry of Industry and Information Technology of the People’s Republic of China Beijing100081 China Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education of the People’s Republic of China Beijing100081 China National Key Laboratory on Near-Surface Detection Beijing100072 China

Orbital angular momentum (OAM) provides a new high-dimensional degree-of-freedom for lasers enabling high-dimensional shift keying, thus showing huge potential in free-space optical data-transmissions. Ensuring the accuracy of data transmission is of concern in any communication system. However, in the free-space OAM shift keying link, interferences from environmental occlusions will broaden the OAM spectrum and thus affect the correctness of information received. In this paper, the occlusion immunities of two commonly used OAM shift keying strategies—OAM-encoding-symbols and OAM-encoding-bits—are evaluated under different occlusion scenarios. We introduce radial, azimuthal, and random occlusions into the link and then analyze the bit error rate (BER) of various OAM shift keying strategies. The results illustrate that the strategy of OAM-encoding-symbols exhibits stronger occlusion immunity with zero BER than OAM-encoding-bits. Moreover, proof-of-concept experiments are done to transmit grayscale images under occlusions. The final decoding results show identical data-transmission performance with simulations. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Bit error rate

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Target detection enhancement method through multi-dimensional information differential projection and fusion

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Optics Express 2025年第10期33卷 21116-21131页

作者： Dong, Xue Lan, Yubo Zhao, Zongmin Cai, Chang Zhou, Zhiming Zhang, Tong Han, Pingli Xiang, Meng Liu, Jinpeng Xie, Peiyue Liu, Fei School of Optoelectronic Engineering Xidian University Xi’an710071 China Xi’an Key Laboratory of Computational Imaging Xi’an710071 China National Key Laboratory of Infrared Detection Technologies Shanghai200083 China Beijing Key Laboratory of Advanced Optical Remote Sensing Technology Beijing100094 China

As a powerful detection tool, spectral polarization imaging (SPI) reveals spatial, spectral, and polarization characteristics. When combined with deep learning, its detection capabilities can be further improved. However, SPI requires the acquisition and processing of large-scale data, and it is still facing significant challenges in detecting targets in complex scenes with reduced contrast, loss of spatial structures, and cluttered backgrounds. Hence, an innovative target detection enhancement method via multi-dimensional information differential projection and fusion is presented based on our self-developed SPI systems. It primarily comprises a target retrieval algorithm based on angle of polarization purification and a novel projection and fusion strategy, which can effectively exploit, enhance, and utilize the multi-dimensional distinctions between the target and background. The resulting fused image visualizes these distinctions, thereby highlighting the target from its background. Experiment results demonstrate the efficacy of our method in detecting targets with shielding, camouflage and shape loss in complex natural environments, i.e., grasslands, woodlands, and sky. This significantly enhances scenario comprehension and detection efficiency without extensive computation or model training, making it especially advantageous for military reconnaissance applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Open access

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infrared Dim Small Target detection Algorithm Based on Adaptive Attention Transformer Network

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Journal of Shanghai Jiaotong University (Science) 2025年 1-13页

作者： Ding, Leqi Xia, Yilin Wang, Biyun Cai, Yunze Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China National Key Laboratory of Air-based Information Perception and Fusion Henan Luoyang471009 China Shanghai Institute of Aerospace Control Technology Infrared Detection Technology R & D Center of China Aerospace Science and Technology Corporation Shanghai201109 China

This paper presents a novel algorithm for detecting infrared dim small targets in complex backgrounds by integrating both global and local feature information. The proposed method employs an adaptive attention transformer network which addresses challenges associated with computational complexity and information redundancy in traditional self-attention mechanisms. A global context aggregation module is designed to address the loss of small target features in high-level feature maps. This module compensates for spatial distribution information during the multi-scale feature fusion process, ensuring the preservation of target features. Comparison experiments were conducted on two datasets, NUAA-SIRST and IRSTD-1k. The proposed algorithm achieved 0.784 for mIoU and 0.878 for F-measure on NUAA-SIRST, 0.632 for mIoU and 0.807 for F-measure on IRST-1k, all of which are the highest values. The proposed algorithm shows a significant improvement over other existing detection algorithms, demonstrating its capability to accurately extract both local and global features of targets with high recall rates and low false alarm rates across various scenarios. The ablation study results highlight the significant improvements contributed by the key modules to the proposed algorithm. (Figure presented.) © Shanghai Jiao Tong University 2025.

关键词： A adaptive attention global context aggregation module infrared dim small target detection TP391.4 Transformer network

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