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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

To overcome the degraded images taken in hazy weather, an adaptive restoration method based on improved contrast enhanced restoration was proposed. Firstly, by quadtree subdivision searching method, the sky area of multichannel polarization image are extracted automatically, and the atmospheric light and degree of polarization are calculated;Second, scene depth information of image are calculated based on contrast enhancement method. Then, atmospheric intensity are thinly restored by guided filter, finally the degradation image are restored. Experimental results have shown that the proposed method can improve fog degradation image and increase definition of the image effectively.

关键词： image dehazing contrast enhancement image restore atmospheric transmissivity

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Target detection for Infrared polarization Image in the Background of Desert 9

Target Detection for Infrared Polarization Image in the Back...

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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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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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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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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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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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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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A high accuracy image registration method research of polarization 3

A high accuracy image registration method research of polari...

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作者： Wang, Xiaolong Zeng, Xianfang Yuan, Hongwu Wang, Feng Key Laboratory of Polarization Imaging Detection Technology Anhui Province Hefei230031 China Anhui Water Conservancy Technical College Anhui Province Hefei231603 China

ISBN: (数字)9781510607286

ISBN: (纸本)9781510607279

The difficult point that impacting the traditional polarization image registration based on Fourier-Mellin transform is calculating rotation angle of the image α and shrinkage variable coefficient τ of polarization image *** on Fourier-Mellin transform method, this paper proposes a improved algorithm that on account of improving resolution in the Î coordinate direction in the Log-polar coordinate system, improve the calculation accuracy of rotation angle of the image α and shrinkage variable coefficient τ.Through the experiment and simulation results show that the improved algorithm than the traditional has higher registration precision. © 2016 SPIE.

关键词： Image registration

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detection method of ship target infrared polarization image 7

Detection method of ship target infrared polarization image

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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 the face of complex background and severe weather environment, infrared polarization detection has obvious advantages. In this paper, the ship target detection method based on infrared polarization image is studied and the ship target infrared polarization image detection method based on local contrast is proposed. The ship target detection accuracy of the proposed algorithm is 0.956, and the false alarm rate of the ship detection is low, which verifies the effectiveness of the detection algorithm in detecting the ship target, which has great application value in military applications. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Errors

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