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3rd International Conference on Optoelectronic Science and Materials, ICOSM 2021

作者： Jia, Jia Shi, Fan State Key Laboratory of Transducer Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Key Laboratory of Infrared Imaging Materials and Detectors Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Colleges of Sciences Shanghai University Shanghai200444 China

ISBN: (数字)9781510649323

ISBN: (纸本)9781510649316

HgCdTe is the most widely used material for infrared detectors' fabricating, basically because of its superior photonelectronic characters. As the fabrication process is comparatively simple and the cost could be very low, HgCdTe photoconductive (PC) detectors still receive widespread applications in many detection fields. For HgCdTe PC detectors, ion beam etching (IBE) is the most commonly used technology for detectors' micro mesa isolation. Ion beams used for etching have certain amounts of energy that would induce some etching damages being processed and also raise the temperature of HgCdTe material. These effects would impact the photon-electronic characters of HgCdTe PC detectors finally obtained. In order to improve the performance of HgCdTe PC devices, we may fabricate them at an extreme-low temperature (ELT). In this paper, we studied some characteristics of argon-ion (Ar+) beam etching at ELT. Furthermore, we not only successfully prepared long-wavelength (LW) HgCdTe PC devices by etching at near liquid nitrogen temperature (LNT), but also compared the testing performances with those obtained by etching at near room temperature (RT). © 2021 SPIE.

关键词： Temperature

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detection Algorithm of infrared Dim Small Target Based on FPGA

Detection Algorithm of Infrared Dim Small Target Based on FP...

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Chinese Automation Congress (CAC)

作者： Yingyue Wu Huaicheng Yan Mengling Wang Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai China School of Information Science and Engineering East China University of Science and Technology Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The traditional infrared dim and small target detection algorithm is generally implemented by DSP (Digital Signal Processing) processor, which is complex and has poor real-time performance. In this paper, a FAST (Features from Accelerated Segment Test) algorithm of adaptive threshold based on FPGA (Field Programmable Gate Array) is proposed to detect infrared dim and small target. Based on the characteristics of FPGA parallel processing, the hardware acceleration of algorithm is realized by pipeline design. The improved adaptive threshold method can generate appropriate thresholds according to different environments, and avoid the loss or redundancy of dim and small infrared targets due to improper threshold selection. At last, two different groups of infrared images are used for experiment, the results show that the algorithm can detect the dim and small targets in the infrared image in real time, and can achieve high detection rate and low false alarm rate, which meets the requirements of real-time and effectiveness.

关键词： Signal processing algorithms Real-time systems Information science Field programmable gate arrays Digital signal processing Redundancy Pipelines

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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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Anomaly detection by polarization imagery fusion

Anomaly detection by polarization imagery fusion

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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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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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Multi-Channel Based on Attention Network for infrared Small Target detection

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 414-427页

作者：张彦军王碧云蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Aerospace Control Technology Shanghai 201109China Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai 201109China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

infrared detection technology has the advantages of all-weather detection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the characteristics of small scale and weak intensity of targets bring great difficulties to the detection of infrared small targets.A multi-channel based on attention network is proposed in this paper,aimed at the problem of high missed detection rate and false alarm rate of traditional algorithms and the problem of large model,high complexity and poor detection performance of deep learning ***,given the difficulty in extracting the features of infrared multiscale and small dim targets,the multiple channels are designed based on dilated convolution to capture multiscale target ***,the coordinate attention block is incorporated in each channel to suppress background clutters adaptively and enhance target *** addition,the fusion of shallow detail features and deep abstract semantic features is realized by synthesizing the contextual attention fusion ***,it is verified that,compared with other state-of-the-art methods based on the datasets SIRST and MDFA,the proposed algorithm further improves the detection effect,and the model size and computational complexity are smaller.

关键词： infrared image small target detection deep learning attention mechanism feature fusion

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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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CMOS amplifier for neural signal recording applications

CMOS amplifier for neural signal recording applications

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16th Annual Conference and 5th International Conference on Chinese Society of Micro-Nano technology, CSMNT 2014

作者： Zhang, Zhang Cheng, Zhengxi Zhuang, Yiwei Key Laboratory of Infrared Imaging Materials and Detectors Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai China State Key Laboratory of ASIC and System Fudan University Shanghai China School of Electronic Science and Applied Physics Hefei University of Technology Hefei Anhui China

ISBN: (纸本)9783038354628

A low power low noise CMOS amplifier with integrated filter for neural signal recording is designed and fabricated with CSMC 0.5 μm CMOS process. DC offsets introduced by electrode-tissue interface are rejected through a feedback low-pass filter. The bandwidth of the amplifier is in 3.5Hz-5.5KHz range, and the gain is about 48dB in the midband. AC input differential mode voltage range is 10mV, and DC input differential mode voltage range is 180mV. The amplifier can accommodate 180mV DC offsets drift and 10mV neural spikes. The neural probe array is integrated directly on the surface of the amplifier array chip, and is tested in saline solution, and also is implanted in rats in vivo, the results of the experiments show that the amplifier is suitable for neural signal recording. The power dissipation is about 14μW while consuming 0.16 mm2 of chip area, which satisfies implantable devices requirements. © (2015) Trans Tech Publications, Switzerland.

关键词： Signal processing

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Polarization sensitivity calibration of the non-polarization channel of polarization multiangle imager onboard Fengyun satellite 1

Polarization sensitivity calibration of the non-polarization...

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1st International Conference on Spatial Atmospheric Marine Environmental Optics, SAME 2023

作者： Wang, Haofei Zhang, Peng Yin, Dekui Shang, Jian Hu, Xiuqing Li, Zhengqiang China Meteorological Administration Beijing100081 China Beijing100081 China Key Laboratory of Infrared Detecting and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China State Environment Protection Key Laboratory of Satellite Remote Sensing Aerospace Information Research Institute Chinese Academy of Sciences Beijing100101 China

ISBN: (纸本)9781510666337

The polarization instrument of Fengyun-3 precipitation satellite is the first Polarization and Multi-Angle Imager (PMAI) with short-wave infrared channel in China, aiming to accurately measure the radiation characteristics of clouds and aerosols in the atmosphere. The accuracy of radiometric measurement is an important technical index of instrument performance, which is of great significance for the inversion of high-precision quantitative parameters of satellite remote sensing. For the non-polarization channel of a polarization imager, polarization is a kind of interference information, and the polarization sensitivity of the instrument needs to be inverted and quantitatively removed to improve the accuracy of radiation calibration. A method of least squares fitting response value of complete linear polarization incident light based on different polarization angles is proposed to measure the polarization sensitivity of the non-polarization channel full field of view. According to the measured polarization rate of each channel and the polarization characteristics of the incident light, the polarization sensitivity of each channel is calibrated based on the polarization calibration model. The results show that the polarization sensitivity of the non-polarization channel shows obvious edge effect, gradually increasing from the center of the focal plane to the edge, and has obvious spectral differences, the smaller the wavelength having the higher the polarization sensitivity. The maximum polarization sensitivity occurs in the edge field of view of the non-polarization channel in the 1030nm band, close to 1.6%, which has a great impact on the accuracy of radiometric calibration. After polarization sensitivity calibration, the polarization sensitivity of the edge field of view is within 0.5%. The results show that by calibrating the polarization sensitivity of the full field of view of the non-polarization channel, the radiometric calibration can be effectively improved

关键词： Satellites

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Optical Waveguide Manufactured in Photo-Thermo-Refractive Glass Substrate by Ion Exchange 2

Optical Waveguide Manufactured in Photo-Thermo-Refractive Gl...

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Advanced Optical Manufacturing Technologies and Applications 2022, AOMTA 2022 and 2nd International Forum of Young Scientists on Advanced Optical Manufacturing, YSAOM 2022

作者： Hao, Yinlei Wu, Haoze Guo, Xiao Peng, Xiao Wang, Shiyong Meng, Haoran Liu, Xinyue Chen, Xinyang College of Information Science & Electronic Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of Sciences Shanghai200083 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China Shenzhen Institute Zhejiang University Shenzhen518057 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China

ISBN: (纸本)9781510661264

Photo-thermo-refractive (PTR) glasses exhibit promising characteristics for volume Bragg grating fabrication, one of key devices for construction of high performance lasers, among other optical device and systems. Aiming at employing this type of glass materials in the field of integrated photonics, buried optical channel waveguide is manufactured in PTR glass substrate by Ag+/Na+ thermal ion exchange and subsequent field assisted ion migration. The Ag+ doped zone in glass substrate, which is also the waveguide core, can be driven to several micrometers under the glass substrate surface, which decreases the propagation loss to a value as low as 0.12dB/cm, by eliminate scattering loss at glass substrate defects. Cross section of the waveguide core can be also engineered to match the core of single mode fiber, ensures a low coupling loss to single mode fiber. Analysis demonstrated that the buried optical waveguide fabrication proves can be expected to be applied in functional integrated optical device implementation. © 2023 SPIE.

关键词： Ion exchange

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