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Anomaly detection by polarization imagery fusion

Anomaly detection by polarization imagery fusion

International Symposium on Optoelectronic technology and Application 2016(OTA 2016)——Conf.9 Hyperspectral Remote Sensing Applications

作者： XUN Li-na XUE Mo-gen WANG Feng Key Laboratory of Polarization Imaging Detection Technology in Anhui Province College of Electrical Engineering and Automation Anhui University

Remote sensing-based anomaly detection, in particular, is an important technology for commercial and military applications, where in most of these cases the target set includes manmade objects(e.g., m

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A Sparsity Adaptive Greedy Iterative Algorithm for Compressed Sensing

A Sparsity Adaptive Greedy Iterative Algorithm for Compresse...

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第37届中国控制会议

作者： Li Wang Lina Xun Dexiang Zhang Yi Xia College of Electrical Engineering and Automation Anhui University Key Laboratory of Polarization Imaging Detection Technology in Anhui Province

Aiming at the problem of signal reconstruction with unknown sparsity in compressed sensing, an improved iterative greedy algorithm is proposed to signal reconstruction from low sampling rate. Firstly, a sparsity estimation strategy is used to estimate the sparsity and the true support set of target signal, and then the residual is initialized with the estimated value. In order to optimize the estimated value, it is necessary to determine the direction of the iteration before the iteration begins. The proposed algorithm is associated with the ideas of adaptive, backtracking and greedy choice to iteratively refine. The simulation results show that the proposed algorithm performs better than that of OMP, CoSaMP and SAMP algorithms for both one-dimensional signal and two-dimensional image signal, and the algorithm has better practical application value.

关键词： Compressed sensing sparsity estimation reconstruction algorithm

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Single hazy image restoration based on fields of experts model and guided filtering

Single hazy image restoration based on fields of experts mod...

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IEEE International Conference on Cyber technology in Automation, Control, and Intelligent Systems

作者： Pucheng Zhou Mogen Xue Xiaoli Zhao Imaging Detection Technology Anhui Province Key Laboratory of Polarization Hefei P. R. China

A kind of haze removal algorithm is proposed, so as to improve the visibility of degraded image with only single image. Firstly, the raw atmospheric transmission map is obtained using the dark channel prior. Then, Fields of Experts model with guided filtering is integrated to get the priors from the degraded image, so as to amend the raw atmosphere transmission map. Finally, the scene albedo is restored based on the atmosphere scattering model. Results on a variety of outdoor haze images show the feasibility and validity of our algorithm. Moreover, a comparative study is also proposed with several other state-of-the-art algorithms demonstrate that our algorithm has similar or even better haze removal results.

关键词： Atmospheric modeling Mathematical model Image restoration Filtering Image color analysis Computational modeling

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Single Image Haze Removal Using Dark Channel Prior and Fields of Experts Model

Single Image Haze Removal Using Dark Channel Prior and Field...

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The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

作者： Pucheng Zhou Yuan Zhou AnHui Province Key Laboratory of Polarization Imaging Detection Technology Hefei New Star Applied Technology Institute Hefei China

ISBN: (纸本)9781479951499

The quality of images taken outsides will be impaired severely in bad weather conditions,such as haze,fog or *** this paper,to improve the visibility with only single hazy image,a kind of haze removal algorithm is ***,the raw atmospheric transmission map is obtained using the dark channel *** then,Fields of Experts model is adopted to amend the raw atmosphere transmission ***,the scene albedo is restored based on the atmosphere scattering *** on a variety of outdoor hazy images show the feasibility and validity of our algorithm.

关键词： haze removal dark channel prior Fields of Experts model image restoration

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Adversarial Examples Generation Through Attacking the 1 × 1 Convolution Operator

Adversarial Examples Generation Through Attacking the 1 × 1...

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2022 International Conference on Blockchain technology and Information Security, ICBCTIS 2022

作者： Wang, Yang Cao, Tieyong Yang, Jibin Zheng, Yunfei Fang, Zheng Yang, Zhen Institute of Command-and-Control Engineering Army Engineering University of Pla Jiangsu Nanjing China The Army Artillery and Defense Academy of Pla Jiangsu Nanjing China The Key Laboratory of Polarization Imaging Detection Technology Anhui Hefei China

ISBN: (数字)9781665496919

ISBN: (纸本)9781665496919

Convolution neural networks (CNN) are vulnerable to adversarial attack, which brings security risks to the application of convolutional neural networks in reality. Adversarial attacks are usually done by adding subtle perturbations in images to fool models to output wrong results. In black-box conditions, the transferability of attack method is mostly focused to fool more model. To enhance the transferability of adversarial attack, we proposed an attack method against the commonly used 1× 1 convolution operator (1ConvA, 1× 1 Convolution Attack), which exists in many convolutional networks for improving the complexity of the model and the gradient flow. Experiments on many CNNs demonstrate 1ConvA can generate adversarial examples with better transferability. © 2022 IEEE.

关键词： Convolution

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Molecular exchange and passivation at interface afford high-performing perovskite solar cells with efficiency over 24%

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Journal of Energy Chemistry 2023年第7期82卷 219-227,I0005页

作者： Jianjun Sun Wangchao Chen Yingke Ren Yunjuan Niu Zhiqian Yang Li'e Mo Yang Huang Zhaoqian Li Hong Zhang Linhua Hu Key Laboratory of Photovoltaic and Energy Conservation Materials Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031AnhuiChina School of Chemistry and Chemical Engineering Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction EngineeringHefei University of TechnologyHefei 230009AnhuiChina College of Science Hebei University of Science and TechnologyShijiazhuang 050018HebeiChina Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Hebei International Joint Research Center for Computational Optical Imaging and Intelligent SensingSchool of Mathematics and Physics Science and EngineeringHebei University of EngineeringHandan 056038HebeiChina University of Science and Technology of Chin1 Anhui 230026HefeiChina

The interface is crucial for perovskite solar cells(PSCs).However,voids at interfaces induced by the trapped hygroscopic dimethyl sulfoxide(DMSO)can reduce charge extraction and accelerate the film degradation,seriously damaging the efficiency and *** this work,4,4’-dinonyl-2,2’-dipyridine(DN-DP),a Lewis base with long alkyl chains is introduced to solve this *** calculated and experimental results confirm that the dipyridyl group on DN-DP can more strongly coordinate with Pb^(2+)than that of the S=O group on *** strong coordination effect plays a crucial role in removing the DMSO-based adduct and reducing the formation of *** to the electron-donating properties of pyridine,the existence of DN-DP in the perovskite film can passivate the defects and optimize the energy level alignment of the perovskite *** open-circuit voltage(VOC)of the DN-DP-based PSC is improved from 1.107 V(control device)to 1.153 V,giving rise to a power conversion efficiency(PCE)of24.02%.Furthermore,benefiting from the moisture resistance stemming from the hydrophobic nonyl group,the PCE retains 90.4%of the initial performance after 1000 h of storage in the ambient condition.

关键词： Perovskite solar cell Anti-solvent 4 4′-Dinonyl-2 2′-dipyridine Optimized interfaceStability

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An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network

arXiv

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arXiv 2020年

作者： Wang, Yong Liu, Qi Zu, Hongyu Liu, Xiao Xie, Ruichao Wang, Feng Department of Information Engineering Army Academy of Artillery and Air Defense PLA Hefei230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei230031 China School of Internet Anhui University Hefei230031 China Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Hefei230031 China

Pixel-wise operations between polarimetric images are important for processing polarization information. For the lack of such operations, the polarization information cannot be fully utilized in convolutional neural network(CNN). In this paper, a novel end-to-end CNN framework for polarization vision tasks is proposed, which enables the networks to take full advantage of polarimetric images. The framework consists of two sub-networks: a polarization-parameter-constructing network (PPCN) and a task network. PPCN implements pixel-wise operations between images in the CNN form with 1×1 convolution kernels. It takes raw polarimetric images as input, and outputs polarization-parametric images to task network so as to complete a vison task. By training together, the PPCN can learn to provide the most suitable polarization-parametric images for the task network and the dataset. Taking faster R-CNN as task network, the experimental results show that compared with existing methods, the proposed framework achieves much higher mean-average-precision (mAP) in object detection task. Copyright © 2020, The Authors. All rights reserved.

关键词： polarization

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Infrared polarization Image Fusion and detection System for Ship Target

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Journal of Physics: Conference Series 2021年第2期1802卷

作者： Haonan Tuo Guochuan Shi Xiaolin Luo 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.

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detection Method of Ship Target Infrared polarization Image

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Journal of Physics: Conference Series 2021年第2期1802卷

作者： Haonan Tuo Guochuan Shi Xiaolin Luo 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.

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Localized Electrons Accelerated Ionic and Charge Transfer for Superior Lithium Storage

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Renewables 2023年第5期1卷 572-581页

作者： Zhaoqian Li Yingke Ren Wangchao Chen Tingting Wei Lie Mo Yang Huang Hong Zhang Guozhong Cao Linhua Hu Key Laboratory of Photovoltaic and Energy Conservation Materials CASInstitute of Solid State PhysicsHefei Institutes of Physical ScienceChinese Academy of SciencesHefeiAnhui 230031 College of Science Hebei University of Science and TechnologyShijiazhuang 050018 School of Chemistry and Chemical Engineering Anhui Province Key Laboratory of Advanced Catalytic Materials and Reaction EngineeringHefei University of TechnologyHefei 230009 University of Science and Technology of China HefeiAnhui 230026 Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center Hebei International Joint Research Center for Computational Optical Imaging and Intelligent SensingSchool of Mathematics and Physics Science and EngineeringHebei University of EngineeringHebeiHandan 056038 Department of Materials Science and Engineering University of WashingtonSeattleWashington 98195

The electrochemical energy storage performance is greatly determined by the charge transfer and ion transportation occurring in the electrode ***,the enhancement of electric conductivity and ionic mobility is vital for high-performing and stable metal ion ***,we report the properties of oxygen vacancies(VO)and carbon co-doped TiO_(2) hollow spheres(HS-TiO_(2))and compared them with fully oxidized white TiO_(2) hollow spheres(W-TiO_(2)).Theoretical calculations and experimental results revealed that the introduction of carbon dopant and VO in anatase TiO_(2) reduced the bandgap and the existence of localized electrons,leading to a lower migration barrier of Li ions that promoted faster ion diffusion kinetics,enabling the HS-TiO_(2) with higher reversibility during the insertion and extraction of Li ions than the W-TiO_(2).This HS-TiO_(2) delivered superior lithium storage properties with a specific discharge capacity of 214.6 mAh g^(-1) for the 100th cycle at 200 mA g^(-1) and 116.3 mAh g^(-1) over 2000 cycles at a high rate of 2 A g^(-1).

关键词： titanium dioxide localized electrons uniform hollow structure oxygen vacancies lithium-ion batteries

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