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High-resolution imaging through dynamic scattering media:Iterative optimization based on polarimetric characteristics

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Science China(Technological Sciences) 2025年第1期68卷 78-80页

作者： Meng XIANG Kai DENG Tianyu WANG Jinpeng LIU Xue DONG Teli XI Fei LIU Xiaopeng SHAO School of Optoelectronic Engineering Xidian UniversityXi’an 710071China Xi’an Key Laboratory of Computational Imaging Xi’an 710071China National Key Laboratory of Infrared Detection Technologies Shanghai 200083China

High-resolution imaging through randomly dynamic scattered fields and highly scattered walls is an extensively sought-after capability with potential applications in various fields such as underwater imaging,biomedical imaging,and seeing through *** methods have been proposed to unscramble object information from degraded scattered images,resulting in considerable improvements in image contrast in degraded scenarios[1].

关键词： scattered dynamic resolution

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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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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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Feature Enhancement Network for infrared Small Target detection in Complex Backgrounds Based on Multi-Scale Attention Mechanism

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Applied Sciences (Switzerland) 2025年第9期15卷 4966-4966页

作者： Zhang, Sen Du, Weilin Liu, Yuan Zhou, Ni Li, Zheng Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China University of Chinese Academy of Sciences Beijing100049 China

The identification of tiny objects via single-frame infrared is a significant challenge in computer vision, primarily due to large variances in target dimensions, overcrowded backgrounds, suboptimal signal-to-noise ratios, the propensity of bounding box regression to vary with target size, and potential partial occlusion scenarios. Addressing these challenges, we propose a sturdy network for enhancing features in the infrared detection of small targets utilizing multi-scale attention. In particular, the introduction of the Iterative Attentional Feature Fusion (iAFF) module at the detection network’s neck aims to tackle the issue of minor target features being overshadowed in the process of cross-scale feature fusion. Additionally, we present the Occlusion-Aware Attention Module (OAAM), which demonstrates greater tolerance for target localization errors in regions where local features are missing due to partial occlusion. By combining the scale and spatial attention mechanisms of the Dynamic Head, our approach adaptively learns the relative importance of different semantic layers. Furthermore, the integration of Normalized Wasserstein–Gaussian Distance (NWD) aims to tackle the convergence issues associated with the increased sensitivity of bounding box regression in identifying minor infrared targets. For assessing our technique’s efficiency, we present a novel benchmark dataset, IRMT-UAV, noted for its considerable discrepancies in target size, intricate backdrops, and substantial variations in the signal-to-noise ratio. The outcomes of our experiments using the public IRSTD-1k dataset and the internally developed IRMT-UAV dataset reveal that our technique surpasses cutting-edge (SOTA) methods, with mAP50 enhancements of 1.4% and 4.9%, respectively, thus proving our method’s efficiency and sturdiness. © 2025 by the authors.

关键词： Radar target recognition

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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’an 710071 China Xi’an Key Laboratory of Computational Imaging Xi’an 710071 China National Key Laboratory of Infrared Detection Technologies Shanghai 200083 China Beijing Key Laboratory of Advanced Optical Remote Sensing Technology Beijing 100094 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： Color spaces Deep learning imaging techniques Machine learning Polarimetric imaging Underwater imaging

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Wafer bow control of extended wavelength InGaAs photodetector materials by strain tailoring

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Materials Science in Semiconductor Processing 2025年 197卷

作者： Liu, Bowen Gu, Yi Yin, Lihao Huang, Huijuan Li, Kang Fan, Liuyan Zhou, Hong Chen, Pingping Yu, Chunlei Li, Tao Shao, Xiumei Li, Xue Gong, Haimei National Key Laboratory of Infrared Detection Technologies Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China Key Laboratory of Infrared Imaging Materials and Detectors Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China Wuxi Zhongke Dexin Sensing Technology Co. Ltd. Jiangsu Wuxi 214135 China University of Chinese Academy of Sciences Beijing 100049 China

The wafer bow caused by lattice mismatch between metamorphic InGaAs epitaxial layer and InP substrate has become one of the key factors limiting the large-scale development of extended wavelength InGaAs focal plane array photodetectors. By introducing tensile strain in InAlAs buffer layers and InAlAs cap layer to compensate the compressive strain caused by lattice mismatch, the wafer bow was decreased from 55.9 μm to 22.2 μm. The influence of strain compensation structure on the anisotropy of metamorphic InGaAs materials was investigated by stress distribution, surface morphology, and PL uniformity. XRD and PL characterizations indicate that small tensile strain in InAlAs buffer layers did not reduce the quality of metamorphic InGaAs epitaxial material. This study shows that strain compensation is an effective method to control wafer bow and decrease anisotropy of metamorphic InGaAs materials grown on InP substrate. © 2025

关键词： Anisotropy Metamorphic InGaAs photodetector materials Strain compensation Wafer bow

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Structural Damage detection and Localization Using Response Difference Transmissibility

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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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A novel method of spike detection for interferograms based on two-step filtering

A novel method of spike detection for interferograms based o...

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4th International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2014

作者： Zou, Yao Pu Han, Chang Pei Zhang, Lei Pan, Wen Gui Wang, Chao Key Laboratory of Infrared System Detection and Imaging Technology SITP UCAS China

ISBN: (纸本)9783038351924

According to the characteristics of interferogram, we design a new spike detection method, which firstly filters an interferogram with two different ways and then detects spikes based on both results. Theoretical analysis and computer simulation shows that this algorithm performs well in detecting spikes in any position of an interferogram with high accuracy, and can be easily implemented in hardware. © (2014) Trans Tech Publications, Switzerland.

关键词： Computer hardware

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A method to compensate the dead time for three-phase PWM inverters

A method to compensate the dead time for three-phase PWM inv...

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International Conference on Frontiers of Energy, Materials and Information Engineering, ICFMEI 2014

作者： Pan, Wen Gui Zhang, Lei Zou, Yao Pu Wang, Chao Han, Chang Pei Key Laboratory of Infrared System Detection and Imaging Technology SITP UCAS Shanghai China

ISBN: (纸本)9783038352778

As for a vector control of a permanent magnet synchronous motor, this paper analyzed the influence of dead-time effect of three-phase bridge inverters on output voltage and current in details. A novel on-line method was proposed for dead-time effect compensation based on disturbance observer. At last, the method is simulated using MATLAB and the simulation results proves the effectiveness and feasibility of the method presented. © (2014) Trans Tech Publications, Switzerland.

关键词： Pulse width modulation

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