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Fourier Transform Spectroscopy, FTS 2019

作者： Ren, Chen Cong, Gao Lei, Liu Jianwen, Hua Lei, Ding Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of Sciences Shanghai200083 China University of Chinese Academy of Sciences Beijing100049 China College of Meteorology and Oceanography National University of Defense Technology Nanjing211101 China

This paper introduced a three-dimensional(3D) Space-ground atmospheric observation system, which is based on interference optics technology. It is used to detect the three-dimensional distribution and change of atmosp... 详细信息

ISBN: (纸本)9781943580613

关键词： Atmospheric humidity

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CDP-GAN:Near-infrared and Visible Image Fusion Via Color Distribution Preserved GAN

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1698-1701页

作者： Jun Chen Kangle Wu Yang Yu Linbo Luo the School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsEngineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationChina University of GeosciencesWuhan 430074China the Shanghai Institute of Technical Physics Key Laboratory of Infrared System Detecting and Imaging TechnologyChinese Academy of SciencesShanghai 200083China the School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China

Dear Editor,This letter is concerned with dealing with the great discrepancy between near-infrared(NIR)and visible(VS)image fusion via color distribution preserved generative adversarial network(CDP-GAN).Different from the global discriminator in prior GAN,conflict of preserving NIR details and VS color is resolved by introducing an attention guidance mechanism into the ***。

关键词： details dealing preserving

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Design, performance and in-orbit evaluation results of Tiangong-2 wide-band imaging spectrometer

Design, performance and in-orbit evaluation results of Tiang...

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Tiangong-2 Remote Sensing Application Conference on technology, Method and Application

作者： Wei, Jun Ding, Lei He, Xianqiang Tang, Yuyu Feng, Xin Lin, Mingsen Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography SOA Hangzhou310012 China National Satellite Ocean Application Service SOA Beijing100081 China Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of Sciences Shanghai200083 China

ISBN: (纸本)9789811335006

The system design, performance and in-orbit evaluations of a push-broom wide-band imaging spectrometer (WIS) on Tiangong-2 space laboratory is introduced. The WIS has 100 m spatial resolution in ocean color bands (FOV is around 42°), which is the highest compared to other in-orbit ocean color sensors (GOCI, MODIS, VIIRS, and OLCI). Besides, WIS includes visible and near infrared (VNIR), shortwave infrared (SWIR) and thermal infrared (TIR) channels and has excellent performance in ocean color monitoring, and SNR in 0.4–0.8 μm is more than 400 at typical oceanic radiance. Average SNR at SWIR is more than 550 at typical atmosphere radiance. Moreover, the instrument’s average NE⊿T at TIR is lower than 20 mK, which is one of the best. The in-orbit tests reveal that the ocean color components retrieved by WIS are highly consistent with the results from the typical ocean color satellite sensors (MODIS, VIIRS and GOCI), but have finer structures due to higher spatial resolution. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Dewars

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Response prediction for mechanical systems subject to combinationalstructural modifications

Response prediction for mechanical systems subject to combin...

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第八届国际振动工程会议

作者： Zengwei Wang Lei Ding Zhike Peng Xi Shi Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of Sciences Shanghai Institute of Technical Physics Chinese Academy of Sciences State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University

A method is proposed for predicting the dynamic response of mechanical systems subject to combinational structural modifications. It can be found that dynamic responses of mechanical systems subject to combinational structural modifications can be calculated from the variant transmissibility matrices of the one-modification system and the dynamic response of the base system, even though operational forces are unknown. The variant transmissibility is defined to relate the response of the modified system and that of the base system. The dynamic coupling between structural modifications to the system is also investigated. The achievements can be used to reduce the computational cost of determining the optimal combination of design *** benefits of the proposed method are illustrated and validated using the numerical example,finite element simulations and experimental case studies.

关键词： Response prediction for mechanical systems subject to combinationalstructural modifications

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Atmospheric Pollution Monitoring Based on Fourier Transform infrared Spectrometer

Atmospheric Pollution Monitoring Based on Fourier Transform ...

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Optical imaging and Measurement (ICOIM), International Conference of

作者： Jun Sun Zhijing Xu Yinghui Lin Ren Chen Zhanhu Wang College of Information Engineering Shanghai Maritime University Shanghai China Chinese Academy of Sciences Shanghai Institute of Technical Physics State Key Laboratory of Infrared Physics Key Laboratory of Infrared System Detection and Imaging Technology Shanghai China

Air pollution has serious impacts on human health and the environment, thus accurate monitoring and analysis of air pollutants is of vital importance. As an efficient monitoring technology, the Fourier Transform infrared Spectrometer has played a wide role in the study of air pollution. This paper elaborates on the basic principles and working mechanisms of the Fourier Transform infrared Spectrometer and discusses the important role in air pollution monitoring, also analyzes the development trend of the Fourier Transform infrared Spectrometer in air monitoring.

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Consistent Transfer Radiometric Calibration technology for Optical Remotely Sensor and Field Campaign Validation

Consistent Transfer Radiometric Calibration Technology for O...

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Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS

作者： Ning Wang Yonggang Qian Lingling Ma Yinnian Liu Yaokai Liu Yongguang Zhao Chuanrong Li Lingli Tang Key Laboratory of Quantitative Remote Sensing Information Technology Academy of Opto-Electronics Beijing China Key Laboratory of Infrared System Detection and Imaging Technologies Shanghai Institute of Technical Physics Shanghai China

ISBN: (纸本)9781728152950

To accurately calibrate the remotely sensed data becomes one of the primary problems for different application of remote sensing. In this paper, consistent transfer radiometric calibration technology is proposed, and the related system composed of standard ground-based and airborne hyperspectral imagers with self-calibrator units, comprehensive references including different types of artificial targets and natural scenes, and benchmark transfer method have been developed. The uncertainty of this system has also been analyzed and an uncertainty of less than 4.5% could be reached by this system. To validate this system, a flight campaign taking place in National High-Resolution Comprehensive Calibration Site of China has been carried out, the results show that the ground-based and air-flight benchmarks were agree with the satellite measurement.

关键词： Calibration Benchmark testing Uncertainty Radiometry Hyperspectral imaging Atmospheric modeling Atmospheric measurements

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Review of Geostationary Interferometric infrared Sounder

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Chinese Optics Letters 2018年第11期16卷 47-57页

作者： Jianwen Hua Zhanhu Wang Juan Duan Libing Li Chenjun Zhang Xiaowei Wu Qing Fan Ren Chen Xiaojie Sun Lianwei Zhao Qian Guo Lei Ding Liwei Sun Changpei Han Xiangyang Li Nili Wang Haimei Gong Xiaoning Hu Qingjun Liao Dingquan Liu Tianyan Yu Yinong Wu Enguang Liu Zhijiang Zeng Center of Interferometer R＆D Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200082China Key Laboratory of Infrared System Detection and Imaging Technology Chinese Academy of SciencesShanghai 200082China Third Engineering Department Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200082China infrared Imaging Material and Device Laboratory Chinese Academy of SciencesShanghai 200082China Key Laboratory of Infrared Imaging Materials and Detectors Chinese Academy of SciencesShanghai 200082China Department of Optical Coatings and Materials Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200082China Space Cryocooler System Laboratory Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200082China State Key Laboratory of Transducer Technology Chinese Academy of SciencesShanghai 200082China Corresponding author：wuxiaowei@***

To measure the global atmospheric three-dimensional distribution and change of temperature and humidity is one of the key areas in atmospheric remote sensing detection; it is also a new research and development direction in the field of meteorological satellite application. As a main element of China second generation of geostationary meteorological satellite Fengyun 4 （FY-4）, which was launched on Dec. 11, 2016, the Geostationary Interferometric infrared Sounder （GIIRS） is the first interferometric infrared sounder working on the international geostationary orbit. It is used for vertical atmospheric sounding and gains atmospheric temperature, humidity, and disturbances. The combination of Fourier transform spectrometer technology and infrared detectors makes GIIRS have high spectral resolution and large coverage over spatial areas. With this kind of instrument, meteoro- logical satellites can improve the capabilities for severe weather event monitoring and numerical weather prediction. Here a concise review of the GIIRS development project, including its history, missions and functions, technical design, key technologies, system integration, calibration and in-orbit operation status, etc., is presented.

关键词： Calibration infrared detectors Remote sensing Temperature

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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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[POSTER] ORBFusion: Real-Time and Accurate Dense SLAM at Large Scale

[POSTER] ORBFusion: Real-Time and Accurate Dense SLAM at Lar...

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IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW)

作者： Juting Dai Xinyi Tang Leif Oppermann Key Laboratory of Infrared System Detection and Imaging Technology Fraunhofer Institute for Applied Information Technology FIT University of Chinese Academy of Sciences Shanghai Institute of Technical Physics of The Chinese Academy of Sciences

ISBN: (纸本)9781538614549

We present a new SLAM system capable of producing high quality globally consistent surface reconstructions with accurate real-time tracking and localization abilities. The system works on an off the shelf laptop with a typical GPU. This paper proposes an approach to unify feature-based keyframe techniques with fused volumetric surface reconstruction methods to overcome both of their limitations. On one hand, feature-based keyframe SLAM techniques have reached a level of maturity and can guarantee accurate and real-time tracking and localization ability, but their raw RGB-D point clouds are too noisy. On the other hand, volumetric surface reconstruction methods can produce a dense surface reconstruction of the environment, which will be helpful for Augmented Reality (AR) applications and scene understanding. However, current dense SLAM systems have limited tracking ability, which is vital for the quality of surface reconstruction. Moreover most of the current dense SLAM systems have to run on a powerful desktop PC to guarantee realtime performance. By unifying the feature-based keyframe tracking ability and adopting a multi-threaded design, our system improves both the tracking ability and the real-time performance. We present results of a wide variety of aspects of our system and evaluate it using the widely used TUM RGB-D and ICL-NUIM Datasets. Our system achieves unprecedented performance in terms of trajectory estimation, surface reconstruction, real-time and computational performance in comparison to other start-of-the-art dense RGB-D SLAM systems.

关键词： Augmented reality

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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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