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infrared, Millimeter-Wave, and Terahertz Technologies II

作者： Peng, Wei Wu, Shixiang Ding, Lei Wang, Xianghua Zhu, Xueqian Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences 500 Yutian Road Hongkou Shanghai China Vision Engineering Ltd Shanghai China

ISBN: (纸本)9780819493170

This Paper introduces a 640×512 InGaAs focal plane array (FPA) camera integrated into a grating spectrometer for measuring 1.58μm absorption spectra of CO2. To gain atmospheric CO 2 concentration by detecting short wave infrared of reflective sunlight from the earth surface has been demonstrated to be an effective way. A hyperspectral spectrometer is designed to detect 1.58μm absorption spectra of CO 2. The spectrometer is a grating spectrometer which is optimised to respond to the spectral range from 1.562 ∼ 1.592μ with spectral resolution of 0.1nm. For high sensitivity, F-number is determined to be 1.8. We designed a 640×512 InGaAs FPA camera system which can be coordinated with the grating spectrometer. The camera integrated a 640×512 InGaAs FPA with 25 μm pixel pitch. The 640×512 InGaAs FPA is sensitive to 0.9μm-to-1.7μm short wave infrared (SWIR) band and features a 298 K temperature detectivity, D *, greater than 5×10 12 cm-1√Hzâˆ•W. The 640×512 InGaAs FPA has characteristics of quantum efficiency no less than 70% at wavelength of 1.58 μm, pixel operability more than 99.91%, two gain modes and three integrat ion modes. The camera features 3Hz rate (exposure time) and 14-bit output. The FPA's embedded TEC module is controlled to keep the detector core at proper temperature. The detector core temperature could be adjusted to below 263 K for lower readout noise and dark current. A Universal Series Buses 2.0 (USB2.0) has been used to transmit spectral data and commands. Commands of window size, position, gain mode and integration time per frame can be sent by the USB2.0 interface. © 2012 SPIE.

关键词： Semiconducting indium gallium arsenide

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Acceleration of infrared Target detection via Efficient Channel Pruning

Acceleration of Infrared Target Detection via Efficient Chan...

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2021 International Conference on Robotics Automation and Intelligent Control, ICRAIC 2021

作者： Miao, Zhuang Zhang, Yong Li, Weihua Chen, Ruimin Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China

Deployment of modern detection models is difficult for infrared target detection used in robot vision systems due to their heavy computational burden. To alleviate this situation, a simple but efficient channel pruning method is proposed for model acceleration. Specifically, a soft-gated module combined with batch normalization (SGBN) is designed as a standalone layer to substitute the standard batch normalization (BN) layer during training. The conversion between SGBN and BN is easy, and the training overhead introduced is almost negligible after replacement. By controlling the sparsity of the scaling factor in SGBN, unimportant channels with small output are blocked automatically and globally, which is simultaneous with model training. Removing these redundant channels no longer requires fine-tuning, thus significantly speeding up the pruning process. Experiments of pruning different detection models on the infrared dataset show the effectiveness of our method. For example, the parameters and FLOPs of pruned CetnerNet are reduced by 72.70% and 40.20%, respectively, without accuracy loss. The inference speed on the CPU is 12.01ms faster. Extended studies on the classification task also demonstrate its great potential when transferring to other applications. © 2022 Institute of Physics Publishing. All rights reserved.

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Design of a wide-field target detection and tracking system using the segmented planar imaging detector for electro-optical reconnaissance

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Chinese Optics Letters 2018年第7期16卷 34-39页

作者：于清华武冬梅陈福春孙胜利 Shanghai Institute of Technical Physics of the Chinese Academy of Sciences Shanghai 200083 China Key Laboratory of Infrared System Detection and Imaging Technology Shanghai 200083 China University of Chinese Academy of Sciences Beijing 100049 China

Detecting and tracking multiple targets simultaneously for space-based surveillance requires multiple cameras,which leads to a large system volume and weight. To address this problem, we propose a wide-field detection and tracking system using the segmented planar imaging detector for electro-optical reconnaissance. This study realizes two operating modes by changing the working paired lenslets and corresponding waveguide arrays： a detection mode and a tracking mode. A model system was simulated and evaluated using the peak signal-to-noise ratio method. The simulation results indicate that the detection and tracking system can realize wide-field detection and narrow-field, multi-target, high-resolution tracking without moving parts.

关键词： FOV Design of a wide-field target detection and tracking system using the segmented planar imaging detector for electro-optical reconnaissance

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The development of infrared remote sensors for Chinese meteorological satellites

The development of infrared remote sensors for Chinese meteo...

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International Conference on infrared and Millimeter Waves

作者： Lei Ding Wei Lu Shanghai Institute of Technical Physics Key Laboratory of Infrared System Detection and Imaging Technology Shanghai China

ISBN: (纸本)9781479982738

Meteorological satellites have become an irreplaceable weather and ocean observing tool. Since the first Chinese polar-orbiting meteorological satellite Feng-Yun (FY-1A) was launched successfully in 1988, there are totally 13 meteorological satellites that were launched into both sun synchronous and geostationary orbit. China is among the few countries in the world which are simultaneously operating both orbiting meteorological satellites. All the satellites have been incorporated into the global constellations of operational meteorological satellites within the WMO framework. More satellites are under construction to be the second generation ones. The status of Chinese meteorological satellite mission is introduced in this paper.

关键词： Satellites Satellite broadcasting infrared sensors Remote sensing Radiometry Detectors imaging

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CO_2 Monitoring Spectrometer with 640×512 Pixel SWIR InGaAs Focal Plane Array

CO_2 Monitoring Spectrometer with 640×512 Pixel SWIR InGaAs...

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Symposium on Photonics and Optoelectronics

作者： Wei Peng Shixiang Wu Lei Ding Xianghua Wang Yihe Hou Jiaqing Liu Chan Tan Yuxuan Liu Key laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences

ISBN: (纸本)9781457709098

This paper introduces a prototype grating spectrometer measuring atmospheric column carbon dioxide (CO_2) with a 640×512 pixel indium gallium arsenide (InGaAs) focal plane array (FPA). The spectrometer achieves the spectral resolutions of 0.1 nm at 1.61μm CO_2 band meets the measurement requirement. The structure of the spectrometer including optics and electronics has been described in this paper. The spectrometer features a relatively fast optics, f/1.8, which benefits the sensitivity, and combines a fine slit with a large planar reflective diffraction grating. The performance of the optical design is presented to demonstrate the optical system meets the requirements for spectral resolution and sensitivity. The 640×512 InGaAs FPA with a low noise acquisition system serves to provide low noise spectral signals. The 640×512 InGaAs FPA, 25 μm pixel size, is sensitive to 0.9μm-to-1.7μm short wave infrared (SWIR) band and features a 298 K temperature detectivity, D~*, greater than 5×10~(12) cm~(-1)√Hz/W.

关键词： CO_2 InGaAs FPA Short-wave infrared High spectral resolution Grating spectrometer Low noise

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MAGPNet: Multi-Domain Attention-Guided Pyramid Network for infrared Small Object detection

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Journal of Shanghai Jiaotong University (Science) 2024年 1-18页

作者： Ding, Leqi Wang, Biyun Yao, Lixiu Cai, Yunze Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China National Key Laboratory of Air-based Information Perception and Fusion Henan Luoyang471009 China Shanghai Institute of Aerospace Control Technology Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai201109 China

To overcome the obstacles of poor feature extraction and little prior information on the appearance of infrared dim small targets, we propose a multi-domain attention-guided pyramid network (MAGPNet). Specifically, we design three modules to ensure that salient features of small targets can be acquired and retained in the multi-scale feature maps. To improve the adaptability of the network for targets of different sizes, we design a kernel aggregation attention block with a receptive field attention branch and weight the feature maps under different perceptual fields with attention mechanism. Based on the research on human vision system, we further propose an adaptive local contrast measure module to enhance the local features of infrared small targets. With this parameterized component, we can implement the information aggregation of multi-scale contrast saliency maps. Finally, to fully utilize the information within spatial and channel domains in feature maps of different scales, we propose the mixed spatial-channel attention-guided fusion module to achieve high-quality fusion effects while ensuring that the small target features can be preserved at deep layers. Experiments on public datasets demonstrate that our MAGPNet can achieve a better performance over other state-of-the-art methods in terms of the intersection of union, Precision, Recall, and F-measure. In addition, we conduct detailed ablation studies to verify the effectiveness of each component in our network. © 2024, Shanghai Jiao Tong University.

关键词： Software engineering

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CMOS amplifier for neural signal recording applications

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key Engineering Materials 2015年 645卷 1279-1284页

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 Shanghai200083 China State Key Laboratory of ASIC and System Fudan University Shanghai200433 China School of Electronic Science and Applied Physics Hefei University of Technology Hefei Anhui230009 China

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： Low pass filters

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Encoding method of CGH for highly accurate optical measurement based on non-maxima suppression

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Chinese Optics Letters 2017年第11期15卷 41-45页

作者：肖锡晟于清华朱振涛胡凯陈桂林 Shanghai Institute of Technical Physics of the Chinese Academy of Sciences Shanghai 200083 China Key Laboratory of Infrared System Detection and Imaging technology Chinese Academy of Sciences Shanghai 200083 China University of Chinese Academy of Sciences Beijing 100049 China

The use of a computer-generated hologram（CGH） in interferometric testing provides new methods for highly accurate optical *** fabricate a CGH,polygons are used to approximate the smooth CGH *** the data size supported by CGH writing machines is limited,the number of polygon vertices must be ***,the CGH-encoding method determines the encoding *** realize a highly accurate optical measurement using CGHs,we propose a CGH-pattern-encoding method based on non-maxima suppression.A self-aligned CGH is designed to verify the *** experimental result shows that a highly accurate CGH can be fabricated using this method.

关键词： maxima suppression encoding aligned polygon fabricate deviation fabrication verify approximate

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Prediction of Pediatric Sepsis Using a Deep Encoding Network with Cross Features

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Journal of Shanghai Jiaotong university(Science) 2024年第1期29卷 131-140页

作者：陈潇张瑞汤心溢钱娟 University of Chinese Academy of Sciences Beijing 100084China Shanghai Institute of Technical Physics of the Chinese Academy of Sciences Key Laboratory of Infrared Detection and Imaging TechnologyShanghai 200083China Shanghai Children's Medical Center Shanghai Jiao Tong University School of MedicineShanghai 200127China

Sepsis poses a serious threat to health of children in pediatric intensive care *** mortality from pediatric sepsis can be effectively reduced through in-time diagnosis and therapeutic *** bacilliculture detection method is too time-consuming to receive timely *** this research,we propose a new framework:a deep encoding network with cross features(CF-DEN)that enables accurate early detection of *** features are automatically constructed via the gradient boosting decision tree and distilled into the deep encoding network(DEN)we *** DEN is aimed at learning sufficiently effective representation from clinical test *** layer of the DEN fltrates the features involved in computation at current layer via attention mechanism and outputs the current prediction which is additive layer by layer to obtain the embedding feature at last *** framework takes the advantage of tree-based method and neural network method to extract effective representation from small clinical dataset and obtain accurate prediction in order to prompt patient to get timely *** evaluate the performance of the framework on the dataset collected from Shanghai Children's Medical *** with common machine learning methods,our method achieves the increase on F1-score by 16.06%on the test set.

关键词： pediatric sepsis gradient boosting decision tree cross feature neural network deep encoding network with cross features(CF-DEN)

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An improvement method of a lossless compression scheme for the datacube from Geostationary Interferometric infrared Sounder (GIIRS) and its FPGA implementation 9

An improvement method of a lossless compression scheme for t...

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9th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2020

作者： Yang, Minzhu Hernandez, Raul Guerra Han, Changpei Feliciano, Jose Francisco Lopez China Jiliang University Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province College of Information Engineering Hangzhou China Instituto Universitario de Microelectrónica Aplicada Universidad de Las Palmas de Gran Ganaria Las Palmas Spain Chinese Academy of Science Key Laboratory of Infrared System Detection and Imaging Technology Shanghai China

This paper briefly described an improved method for the original proposed scheme based on Vector Quantization and Linear Prediction to further enhance the compression ratio while reduce the time cost. Given the fact that the interferograms belong to the same datacube are similar to each other, there are two obvious modifications in this paper: predict only once to get the general predicted coefficients for the same datacube;along with treat datacube rather than sequence as the encoded unit. The time consumption spent by Linear Prediction part will shrink about 35.55% by predicting just once. Moreover, the change of the encoded object makes the final compression ratio get a further rise range from 2.62% to 3.711%. © 2020 IEEE.

关键词： Field programmable gate arrays (FPGA)

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