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8th Symposium on Novel Photoelectronic detection technology and Applications

作者： Wang, Shuo Lu, Xinfei Wu, Lingxia Key Laboratory of Polarization Imaging Detection Technology Anhui Province Hefei230031 China The Chinese Academy of Sciences Key Laboratory of Electromagnetic Space Information University of Science and Technology of China Hefei230027 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Compressed sensing (CS) techniques have shown promise for radar imaging applications due to the excellent images they can produce. In this paper, a two dimensional (2D) sparse signal model for turntable radar imaging is developed, and a 2D CS based image reconstruction algorithm with a hyperbolic tangent constraint is proposed to improve the imaging performance and avoid the huge computational burden of 1D CS based methods, which require a tremendous amount of memory and computational resources. The augmented Lagrange multiplier and a 2D iterative soft thresholding function are used for solving the minimally sparse nonconvex optimization problem with parameter adjustment. Moreover, its convergence can be proved. Experimental results are presented to demonstrate the validity of the proposed approach. © 2022 SPIE

关键词： Radar imaging

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Recognition of group activities based on M-DTCWT and elliptic mahalanobis metrics 12th

Recognition of group activities based on M-DTCWT and ellipti...

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12th Chinese conference on Advances in Image and Graphics Technologies, IGTA 2017

作者： Hu, Gensheng Li, Min Liang, Dong Bao, Wenxia School of Electronics and Information Engineering Anhui University Hefei230601 China Anhui Key Laboratory of Polarization Imaging Detection Technology Hefei230031 China

ISBN: (纸本)9789811073885

A group activities recognition algorithm is proposed by combining M-DTCWT (multi directional dual tree complex wavelet transform) with elliptic Mahalanobis metric. M-DTCWT is composed of directional filter bank in cascade with dual tree complex wavelet transform. By using the M-DTCWT to decompose the human images in videos for multi-scale and multi-direction, the high and low frequency coefficients can be obtained. The texture features of the high and low frequency coefficients are extracted by using improved local binary pattern and gray level co-occurrence matrix and classified by using elliptic Mahalanobis metric. According to the results of classification, group activities are recognized. Experimental results on Group activity video set and self built video set show that the proposed algorithm has higher recognition accuracy than the existing algorithms and Euclidean metric algorithm. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Security systems

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Recognition of Group Activities Using Complex Wavelet Domain Based Cayley-Klein Metric Learning

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Journal of Beijing Institute of technology 2018年第4期27卷 592-603页

作者： Gensheng Hu Min Li Dong Liang Mingzhu Wan Wenxia Bao Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui University Hefei 230039China School of Electronics and Information Engineering Anhui UniversityHefei 230601 China School of Information Science and Technology Fudan UniversityShanghai 200433China Anhui Key Laboratory of Polarization Imaging Detection Technology Hefei 230031China

A group activity recognition algorithm is proposed to improve the recognition accuracy in video surveillance by using complex wavelet domain based Cayley-Klein metric ***-sampled dual-tree complex wavelet packet transform(NS-DTCWPT)is used to decompose the human images in videos into multi-scale and *** improved local binary pattern(ILBP)and an inner-distance shape context(IDSC)combined with bag-of-words model is adopted to extract the decomposed high and low frequency coefficient *** extracted coefficient features of the training samples are used to optimize Cayley-Klein metric matrix by solving a nonlinear optimization *** group activities in videos are recognized by using the method of feature extraction and Cayley-Klein metric *** results on behave video set,group activity video set,and self-built video set show that the proposed algorithm has higher recognition accuracy than the existing algorithms.

关键词： video surveillance group activity recognition non-sampled dual-tree complex wavelet packet transform(NS-DTCWPT) Cayley-Klein metric learning

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Research on Improved Faster R-CNN polarization Image detection Method 8

Research on Improved Faster R-CNN Polarization Image Detecti...

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8th Symposium on Novel Photoelectronic detection technology and Applications

作者： Wang, Rongchang Wang, Shuo The Key Laboratory of Polarized Light Imaging Detection Technology of Anhui Province Chinese Academy of Sciences Anhui Hefei230031 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

polarization imaging technology is an optical reconnaissance method based on the polarization characteristics of the target, which can simultaneously obtain a variety of information about the target. This information is very useful for visual tasks such as target detection. The traditional polarization parameter map as the input source for target detection has the problems of low accuracy and weak generalization ability. To solve the above problems, this paper builds a polarization parameter feature extraction network on the basis of Faster R-CNN, and adaptively generates polarization parameters. Perform feature extraction. It has been verified that the detection accuracy has been improved compared to the traditional network with polarization parameters as the input source. © 2022 SPIE

关键词： Computer vision

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Research on Infrared polarization Noise Suppression and Target detection Methods in Cloud Background 6

Research on Infrared Polarization Noise Suppression and Targ...

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6th Conference on Frontiers in Optical imaging and technology: imaging detection and Target Recognition

作者： Fan, Yang Qiheng, Huang Beiyao, Cui Army Academy of Artillery and Air Defense of PLA Hefei Anhui230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei230031 China

ISBN: (数字)9781510679733

ISBN: (纸本)9781510679726

In order to reduce the impact of cloud clutter on target detection in infrared polarization images under sky background, a target detection method based on maximally stable external regions (MSER) is proposed. Firstly, subtract each pixel of the infrared polarization image from the mean of the vertical and horizontal directions of the image. The non positive pixel is the cloud background, and the grayscale value is set to 0 to obtain the cloud clutter background suppression polarization image. Then, using geometric feature constraints, the final aircraft target detection result is obtained by setting a reasonable aspect ratio threshold and the contrast threshold between the target and the background, removing non target areas such as cloud edge clutter and ripples. Two indicators, accuracy and recall, were used to evaluate the detection performance. The experimental results showed that the clutter suppression and target detection methods studied in this paper can effectively suppress the adverse effects of cloud clutter on detecting aircraft targets in infrared polarized images under different thickness cloud sky scenes, and the detection effect is significantly improved. © 2024 SPIE. All rights reserved.

关键词： Aspect ratio

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A blind element detection and correction method for pixel coupled infrared polarization imaging system 9

A blind element detection and correction method for pixel co...

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9th Symposium on Novel Photoelectronic detection technology and Applications

作者： Fan, Yang Juan, Zhao Army Academy of Artillery and Air Defense of PLA Anhui Hefei230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei230031 China

ISBN: (纸本)9781510664432

In order to improve the accuracy of pixel coupled infrared polarization imaging system, based on the analysis of the characteristics of blind elements, a blind element detection and correction method based on the nearest neighbor parameter is proposed. Blind elements are detected by two-way derivative operation in Stokes vector, the concepts of nearest neighbor and reference polarization pixel are introduced, and the identification methods of fixed blind elements, random blind elements and point targets are classified, According to the polarization parameter distribution in the neighborhood of the blind element, the blind element correction is realized. The experimental results show that this method can effectively improve the acquisition ability of polarization information of incident light, reduce the system error, and improve the detection accuracy of the pixel coupled polarization imaging system. © 2023 SPIE.

关键词： Pixels

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Research on the novel concentration sensor based on multi-longitudinal mode laser interference 9

Research on the novel concentration sensor based on multi-lo...

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9th Symposium on Novel Photoelectronic detection technology and Applications

作者： Wang, Chenchen Xu, Yao Zu, Hongyu Gu, Kang Huang, Qiheng Huang, Qinchao Wang, Yong Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology He Fei230031 China Army Academy of Artillery and Air Defense PLA Anhui Hefei230031 China

ISBN: (纸本)9781510664432

In this paper, a novel non-contact optical measurement method based on the principle of laser self mixing interference for measuring liquid concentration is proposed. The optical path difference caused by changing the concentration of the solution, we found the phenomenon of waveform separation in the laser self-mixing vibration signal. In this system, simulation results of different solution concentrations are obtained based on the feature that each longitudinal mode is independent and do not interfere with each other in the multi-longitudinal mode laser, which successfully verified the corresponding relationship between the degree of waveform separation and the concentration of the solution. © 2023 SPIE.

关键词： Optical data processing

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Conditional Generative Adversarial Defogging Algorithm Based on polarization Characteristics 33

Conditional Generative Adversarial Defogging Algorithm Based...

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第33届中国控制与决策会议

作者： Jingjing Zhang Kangsheng Bao Xin Zhang Fudong Nian Teng Li Yuzhou Zeng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education (Anhui university) Key Laboratory of Polarized Light Imaging and Detection Technology in Anhui Province Hefei No.6 High School Hefei University

ISBN: (纸本)9781665431293

To overcome image degradation under the conditions of haze,and fog,a method using conditional generative adversarial defogging algorithm based on polarization characteristic is *** original images with different polarization angles were obtained from the original image,and then the polarization images were characterized using Stokes *** the relationship between Stokes vector and polarization image,each polarization image with different angles is input into the same network to extract *** the same time,the enhanced network is used to extract the characteristics of the fog area in the polarization image,and the polarization information is extracted by layer jump connection,which is fused with the image features of different *** constructing the loss function and obtaining the optimal solution,the fog-free image is finally *** results show that a clear image can be reconstructed in fog situations by using conditional generative adversarial network-based on polarization characteristics,and the structural similarity is improved by about 10%,the peak signal to noise ratio is increased by about 0.5.

关键词： polarization characteristics conditional generative adversarial network image processing image defogging feature fusion enhanced network

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Research on super-resolution reconstruction of single-frame image of infrared focal plane polarization imaging 8

Research on super-resolution reconstruction of single-frame ...

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8th Symposium on Novel Photoelectronic detection technology and Applications

作者： Yuan, Hongwu Wang, Yiqing Xu, Guoming Wang, Feng School of Big Data and Artificial Intelligence Anhui Xinhua University Hefei China Key Laboratory of Polarization Imaging Detection Technology in Anhui Province Hefei China Institute of Intelligent Information Anhui Xinhua University Hefei China School of Internet Anhui University Hefei China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Since the low resolution of infrared focal plane arrays may degrade the performance of polarization imaging significantly, it is necessary to study the super-resolution reconstruction method for superior image resolution and contrast. Four typical single-frame image reconstruction methods are studied in this paper, and the comparison of reconstruction result of these methods is conducted by using subjective and objective evaluation. The experiments show that the reconstruction method based on generative adversarial network performs poorly in the evaluation indexes such as peak signal-to-noise ratio and structural similarity, but its reconstructed image has good visual effects, rich texture and details, and has a strong ability to suppress background noise, and using the reconstructed images for polarization information parsing can significantly improve the accuracy of polarization information parsing and the effect of polarization image fusion. © 2022 SPIE

关键词： Image fusion

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Model and Analysis of the top of Atmosphere’s polarization Radiation Characteristics based on Ocean Scene 3

Model and Analysis of the top of Atmosphere’s Polarization ...

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3rd International Computing imaging Conference, CITA 2023

作者： Wu, Lingxia Zeng, Xianfang Wu, Yunzhi Huang, Qinchao Huang, Qiheng Army Academy of Artillery and Air Defense of PLA Hefei Anhui230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei Anhui230031 China Anhui Water Conservancy Technical College China

ISBN: (纸本)9781510671409

In view of the problem of attenuation or polarization state change caused by atmospheric radiation transmission in the long-distance path transmission of target polarization information, the atmospheric polarization characteristics based on atmospheric vector radiative transmission are studied, and the polarization characteristic modeling is completed. First using rough sea surface Cox-Munk model and Fresnel reflection law to simulate the real sea surface radiation state, determine the environmental data needed for the simulation, then based on radiation transmission simulation tools analysis of atmospheric Rayleigh scattering and aerosol scattering influence on the polarization radiation state, finally with the sea surface radiation state coupling get atmospheric top polarization radiation state. In order to verify the correctness of the proposed modeling method, the modeling results of this method are compared with the data actually obtained by the polarization detector of DPC. The results show that the overall trend and consistency of the observed and simulated values are good. This method can effectively simulate the polarization characteristics of the sea atmosphere in sunny and cloudy weather, and provide good data support for the offshore polarization detection in sunny and cloudy weather conditions. © 2023 SPIE.

关键词： Surface waters

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