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2024 Conference on Spectral technology and Applications, CSTA 2024

作者： Yu-Hao, Xiong Xiao-Qi, Lei Dong, Wei Wen-Yuan, Qi Xiang-Bin, Ling Shanghai Aerospace Control Technology Institute China Infrared Detection Technology Research & Development Center of CASC China

ISBN: (纸本)9781510683082

Motion blur widely exists in uncooled infrared images. Because of the obvious cross-shaped bright lines and a large amount of noise interference in the uncooled infrared image spectrum, it is difficult to estimate the point spread function (PSF) parameters. Aiming at the problem that the existing PSF estimation methods have strong parameter dependence and are greatly affected by interference in small blurred scale (the effective estimation range is limited), which leads to low accuracy of parameter estimation, this paper proposes a motion blurred PSF parameter estimation method based on spectrum clipping and structured forests edge detection. In order to avoid the influence of circular fringes and ensure the efficiency and accuracy of the algorithm, the obvious part of the middle fringes in the spectrum is cut out for the estimation of PSF parameters. Gauss low-pass filter and edge detection based on structured forests extract the fringe edge of the spectrum, overcoming the interference of cross-shaped bright lines and noise, and improving the accuracy of estimation results. Experimental results show that the proposed method is suitable for both visible and uncooled infrared motion blurred images. The PSF parameter estimation results have high accuracy, and our method has small parameter dependence and strong robustness. © 2024 SPIE.

关键词： infrared imaging

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Mid-infrared dual-band imaging metalens 6

Mid-infrared dual-band imaging metalens

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6th Conference on Frontiers in Optical Imaging and technology: Novel Technologies in Optical Systems

作者： Tao, Xiao Zhou, Weiwen Li, Dapeng Shi, Qingjie Cao, Shuang Shanghai Aerospace Control Technology Institute Shanghai201109 China Infrared Detection Technology Research & Development Center of Casc Shanghai201109 China

ISBN: (数字)9781510679672

ISBN: (纸本)9781510679665

Traditional mid-infrared optical devices are characterized by complex structures, large volumes, and high prices, which impede the advancement of future multidimensional, multifunctional, and miniaturized integration. However, metasurfaces comprising planar and ultra-thin nanostructures have emerged as a promising alternative. By manipulating the interaction between light and materials at subwavelength scales, metasurfaces exhibit remarkable control over optical fields and offer multifunctional capabilities. Consequently, they provide new avenues for integrating infrared systems in a miniaturized form. In this paper, an efficient metalens based on Pancharatnam-Berry (PB) phase working in the mid-infrared range(3.7μm-4.8μm) is proposed and numerically demonstrated. The proposed metalens enables precise control of incident light phase, thereby converge the incident light into two focal spots within spectral-band ranges: 3.7μm-4.0μm (with a focal length of 150μm) and 4.5μm-4.8μm (with a focal length of 250μm). The bifocal metalens is space division multiplexing designed using alternately arranged a-Si nanobricks, facilitating a high polarization conversion efficiency exceeding 80% and achieving achromatic behavior within the two spectral-band ranges. This work demonstrates the potential application of metalens for addressing complex tasks in infrared optical detection. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Incident light

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research on a radiative correction method for the division of focal plane polarization in mid-infrared imaging system 6

Research on a radiative correction method for the division o...

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6th Conference on Frontiers in Optical Imaging and technology: Novel Detector Technologies

作者： Sun, Zunyi Long, Huabao Zhang, Xiaojie Tao, Xiao Zhu, Haolin Shanghai Aerospace Control Technology Institute 1555 Zhongchun Road Minhang District Shanghai201101 China Infrared Dection Technology Research & Development Center of CASC

ISBN: (数字)9781510679696

ISBN: (纸本)9781510679689

In recent years, infrared thermal polarization imaging technology has emerged as a new method of infrared detection. Its main objective is to detect, identify, and track the differences in infrared polarization characteristics between targets and scenes. Compared to ordinary infrared imaging systems, this technology offers significant advantages for detecting and identifying man-made targets in complex natural backgrounds. Specifically, the division of focal plane (DoFP) polarimeter is currently being extensively researched due to its compact structure, small volume, and real-time imaging capabilities. However, the focal plane array (FPA) of the DoFP polarimeter exhibits varying response gains and bias parameters, while the micro-polarizer array on its surface suffers manufacturing defects, resulting in significant non-uniformity errors that adversely affect resolution accuracy. This paper analyzes the mechanism behind the generation of non-uniformity in the DoFP polarization imaging system and establishes a relationship between the output grayscale of the system and incident irradiance. Additionally, through the use of a mid-infrared polarization radiation source, the proposed method conducts irradiation calibration and polarization parameter calibration to rectify the non-uniformity of the detection image of the system. Based on experimental results, the calibration model significantly enhances the accuracy of polarization detection information for scene targets. © 2024 SPIE.

关键词： Imaging systems

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Numerical simulation study on thermal radiation transmission and suppression in high-temperature sapphire window

Numerical simulation study on thermal radiation transmission...

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2024 Conference on Spectral technology and Applications, CSTA 2024

作者： Gao, Lei Jiang, Zhongxu Tao, Hongyu Shanghai Institute of Aerospace Control Technology Shanghai201109 China Research and Development Center of Infrared Detection Technology of China Aerospace Science and Technology Corporation Shanghai201109 China

ISBN: (纸本)9781510683082

When an aircraft equipped with infrared guidance systems flies at high Mach numbers through the atmosphere, the infrared window interacts strongly with the incoming flow, resulting in aerodynamic thermal radiation effects. This paper models the thermal radiation transmission for flat-panel side-window infrared windows, captures dynamic thermal noise images under ballistic conditions, and introduces spectral filtering techniques to mitigate intense radiation bands in sapphire windows, addressing varying radiation intensities across different bands. Simulation results indicate that, within this trajectory, the window temperature peaks at approximately 470K at the 9th second, with the highest image irradiance of 0.69W/m2 in the 3-5μm band, and a non-uniformity of 0.0293 in the thermal noise image. After spectral filtering to suppress the 4.6-5μm band, the maximum image irradiance drops to 0.202W/m2, a reduction of 70.7%, with the non-uniformity decreasing to 0.0215, a reduction of 26.6%. The thermal radiation transfer calculation model and the spectral filtering techniques outlined in this paper offer valuable insights for mitigating aerodynamic thermal impacts and enhancing the performance of infrared detection systems by suppressing thermal radiation. © 2024 SPIE.

关键词： Sapphire

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infrared and visual image fusion via multi-modal decomposition and PCNN in gradient domain fusion measure 2nd

Infrared and visual image fusion via multi-modal decompositi...

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2nd International Conference on Smart Multimedia, ICSM 2019

作者： Tan, Wei Zhang, Jiajia Qian, Kun Du, Juan Xiang, Pei Zhou, Huixin School of Physics and Optoelectronic Engineering Xidian University Xi’an710071 China Department of Computer Science University of Copenhagen Copenhagen2100 Denmark Shanghai Institute of Spaceflight Control Technology Shanghai201109 China Infrared Detection Technology Research and Development Center of CASC Shanghai201109 China

ISBN: (纸本)9783030544065

infrared and visual image fusion aims to obtain a complex image which contains more recognizable information. To obtain the complex image, a fusion algorithm via multi-modal decomposition and pulse-coupled neural network (PCNN) in gradient domain fusion measure is proposed. Firstly, the source images are decomposed into three layers through the decomposition model. Then, a gradient domain PCNN fusion measure is employed in the three layers. Finally, the fused image is reconstructed through the three fused layers. Experimental results demonstrate that the proposed algorithm performs effectively in both qualitative and quantitative measures. © Springer Nature Switzerland AG 2020.

关键词： Image fusion

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DIM MOVING TARGET detection USING SPATIO-TEMPORAL ANOMALY detection FOR HYPERSPECTRAL IMAGE SEQUENCES

DIM MOVING TARGET DETECTION USING SPATIO-TEMPORAL ANOMALY DE...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Yang Li Jinshen Wang Xiang Liu Ning Xian Changsheng Xie Image Processing Center Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Infrared Detection Technology Research & Development Center CASC

Dim moving target detection from hyperspectral image sequences, which contains temporal information as well as spectral information, has attracted researchers' interest for its crucial role in civil and military application. In this paper, we propose a novel spatio-temporal anomaly approach to solve the dim moving target detection problem. This approach calculates spatial anomaly map, temporal anomaly map using anomaly detection algorithm from spatial domain and temporal domain, respectively. To achieve motion consistency characteristic, this approach manages to generate the trajectory prediction map. After fusing the spatial anomaly map, the temporal anomaly map and the trajectory prediction map, target of interest can be easily detected from background. The proposed approach is applied to a test dataset of airborne target in the cloud clutter background. Experimental results confirm that the proposed approach can achieve a low false alarm rate as well as a high probability of detection.

关键词： Hyperspectral imaging Object detection Image sequences Trajectory Anomaly detection Principal component analysis

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research on infrared Computational Multispectral Imaging technology Based on Coding Mask 9

Research on Infrared Computational Multispectral Imaging Tec...

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9th Symposium on Novel Photoelectronic detection technology and Applications

作者： Li, Dapeng Zhou, Weiwen Liu, Sha Wu, Jianrong Zhang, Xiaotong Shanghai Aerospace Control Technology Institute No.1555 Zhongchun Road Minhang District Shanghai201109 China Shanghai Academy of Spaceflight Technology No.3888 Yuanjiang Road Minhang District Shanghai201109 China Infrared Detection Technology Research & Development Center CASC No.1555 Zhongchun Road Minhang District Shanghai201109 China Key Laboratory for Quantum Optics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Science Shanghai201800 China

ISBN: (纸本)9781510664432

Limited by the current technological development level of infrared detectors, it is difficult for the infrared multispectral imaging systems to meet the requirements of practical engineering application indicators such as low structural complexity and high transmittance at the same time. In order to promote the engineering application level of computational imaging technology in the infrared spectrum, this paper proposes a snapshot computational spectral imaging technology scheme based on reflective coding mask;this scheme utilizes the built-in reflective coding mask in traditional imaging system: Firstly, complete the design and molding of the coding mask according to the index requirements, complete the information calibration of the coding mask in the spatial dimension and the spectral dimension by building a high-precision spectral calibration module, and then combine the compressive sensing image restoration algorithm according to the calibration results, finally realize the Imaging and spectral data extraction of targets. Laboratory indoor imaging shows that this scheme can realize broad-spectrum imaging of indoor targets and extraction of multi-spectral information of targets. Compared with the technical scheme of traditional optical filter and grating infrared spectrometer, it has the technical advantages of simple structure and high transmittance. © 2023 SPIE.

关键词： Compressed sensing

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Exploratory research on Multidimensional Information Modulation and Calibration Methods in infrared Computational Imaging 6

Exploratory Research on Multidimensional Information Modulat...

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6th Conference on Frontiers in Optical Imaging and technology: Novel Imaging Systems

作者： Zhou, Weiwen Li, Dapeng Liu, Sha Wu, Jianrong Zhang, Xiaotong Shanghai Aerospace Control Technology Institute No.1555 Zhongchun Road Minhang District Shanghai201109 China Shanghai Academy of Spaceflight Technology No.3888 Yuanjiang Road Minhang District Shanghai201109 China Infrared Detection Technology Research & Development Center of CASC No.1555 Zhongchun Road Minhang District Shanghai201109 China Key Laboratory for Quantum Optics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Science Shanghai201800 China

ISBN: (数字)9781510679719

ISBN: (纸本)9781510679702

With the continuous development of new infrared optoelectronic detection methods, the computational imaging based on encoding mask has received attention due to its ability to obtain spatiotemporal synchronous multidimensional information including intensity, spectrum, and polarization. However, the research results of this technology in the infrared band are relatively scarce at present. As is well known, one of the challenges in infrared computing imaging technology is information modulation and calibration. Only by obtaining a multidimensional information calibration dictionary can subsequent system integration and information recovery be completed. This paper focuses on multi-dimensional information modulation and high-precision calibration technology, and simultaneously conducts research on optimization schemes for multi-dimensional information calibration. Finally, performance indicators are verified using speckle field autocorrelation algorithm. The simulation results indicate that the multi-dimensional information modulation and calibration technology adopted in this paper can effectively obtain the multi-dimensional information calibration dictionary, laying the foundation for the subsequent integration of infrared computing imaging systems. © 2024 SPIE.

关键词： Calibration

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A new medical diagnosis method based on Z-numbers

arXiv

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arXiv 2017年

作者： Wu, Dong Liu, Xiang Xue, Feng Zheng, Hanqing Shou, Yehang Jiang, Wen School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi710072 China Infrared Detection Technology Research and Development Center Shanghai Institute of Spaceflight Control Technology Casc Shanghai Shanghai Institute of Spaceflight Control Technology Shanghai200233

How to handle uncertainty in medical diagnosis is an open issue. In this paper, a new decision making methodology based on Z-numbers is presented. Firstly the experts' opinions are represented by Z-numbers. Z-number is an ordered pair of fuzzy numbers denoted as Z = (A,B). Then, a new method for ranking fuzzy numbers is proposed. And based on the proposed fuzzy number ranking method, a novel method is presented to transform the Z-numbers into Basic Probability Assignment (BPA). As a result, the information from different sources is combined by the Dempster' combination rule. The final decision making is more reasonable due to the advantage of information fusion. Finally, two experiments, risk analysis and medical diagnosis, are illustrated to show the efficiency of the proposed methodology. Copyright © 2017, The Authors. All rights reserved.

关键词： Decision making

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research on the Dynamic Point Cloud Alignment Method of Lidar Based on Posture Correction

Research on the Dynamic Point Cloud Alignment Method of Lida...

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Academic International Symposium on Optoelectronics and Microelectronics technology (AISOMT)

作者： Tao Peng Wei Lu Xin Zhou Jianfeng Sun Bingqing Xu Yaojun Li Le Ma Hongchao Ni National Key Laboratory of Laser Spatial Information Harbin Institute of Technology Harbin Heilongjiang China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou Henan China Shanghai Aerospace Control Technology Institute Shanghai China Infrared Detection Technology Research & Development Center of CASC Shanghai China

ISBN: (数字)9798331542283

ISBN: (纸本)9798331542290

The GM-APD LiDAR system offers a number of advantages, including high sensitivity, an extended detection range and high distance resolution. However, the field of view is constrained by the operational principle, which necessitates the utilization of multi-pulse data for the reconstruction of the target. It is therefore important to consider the impact of the Gm-APD LiDAR's motion process on the resulting imaging in the context of large-scale scene scanning. The 64×64 APD array is unable to extract sufficient and effective point cloud features. The traditional feature-based alignment method is unable to achieve point cloud alignment. To resolve this issue, a system based on the combination of LiDAR and inertial guidance has been designed. This system utilizes position, attitude and scanning angle to reduce the dynamic effects during LiDAR scanning and achieve dynamic point cloud alignment.

关键词： Point cloud compression Laser radar Image resolution Sensitivity Feature extraction Vectors Sensor systems Sensors Microelectronics Image reconstruction

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