Photoelectronic Technology Committee Conferences最新文献_第4页

The application of IR detector with windowing technique in the small and dim target detection 加窗红外探测器在弱小目标检测中的应用

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2180906

Xiaofeng Su, Fansheng Chen, Yucui Dong, Kun Cui, Sijie Huang

{"title":"The application of IR detector with windowing technique in the small and dim target detection","authors":"Xiaofeng Su, Fansheng Chen, Yucui Dong, Kun Cui, Sijie Huang","doi":"10.1117/12.2180906","DOIUrl":"https://doi.org/10.1117/12.2180906","url":null,"abstract":"The performance of small and dim IR target detection is mostly affected by the signal to noise ratio(SNR) and signal to clutter ratio(SCR), for the MWIR especially LWIR array detector, because of the background radiation and the optical system radiation, the SCR cannot be unlimited increased by using a longer integral time, so the frame rate of the detector was mainly limited by the data readout time especially in a large-scale infrared detector, in this paper a new MWIR array detector with windowing technique was used to do the experiment, which can get a faster frame rate around the target by using the windowing mode, so the redundant information could be ignore, and the background subtraction was used to remove the fixed pattern noise and adjust the dynamic range of the target, then a local NUC(non uniformity correction) technique was proposed to improve the SCR of the target, the advantage between local NUC and global NUC was analyzed in detail, finally the multi local window frame accumulation was adopted to enhance the target further, and the SNR of the target was improved. The experiment showed the SCR of the target can improved from 1.3 to 36 at 30 frames accumulation, which make the target detection and tracking become very easily by using the new method.","PeriodicalId":225534,"journal":{"name":"Photoelectronic Technology Committee Conferences","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132889182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two methods for characterizing the electrical properties of InAsSb film grown by liquid phase epitaxy 两种表征液相外延生长InAsSb薄膜电性能的方法

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2179766

Y. Lv, Shuhong Hu, Yonggang Xu, Yang Wang, Guolin Yu, N. Dai

引用次数: 1

Fabrication and surface profile simulation of sapphire microlens array 蓝宝石微透镜阵列的制备及表面轮廓模拟

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2180221

Xiangyang Liu, Shijia Liu, H. Qiao, Longyuan Zhu, Xiang-yang Li

引用次数: 0

A background suppression algorithm for infrared image based on shearlet 基于shearlet的红外图像背景抑制算法

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2180080

Ruibin Zou, Caicheng Shi, XiaoWei Qin

{"title":"A background suppression algorithm for infrared image based on shearlet","authors":"Ruibin Zou, Caicheng Shi, XiaoWei Qin","doi":"10.1117/12.2180080","DOIUrl":"https://doi.org/10.1117/12.2180080","url":null,"abstract":"Because of the relative far distance between infrared imaging system and target or the wide field infrared optical, the imaging area of infrared target is only a few pixels, which is isolated or spots to be showed in the field of view. The only available is the intensity information (gray value) for the target detection. Simultaneously, there are many shortcomings of the infrared image, such as large noise, interference and so on, therefore the small target is always buried in the background and noises. The small target is relatively difficult to detect, so generally, it is impossible to make reliable detection to this target in a single frame image. Summarily, the core of the infrared small target detection algorithm is the background and noise suppression based on a single frame image. Aiming at the infrared small target detection and the above problems, a shearlets-based background suppression algorithm for infrared image is proposed. The algorithm demonstrates the performance of advantage based on shearlets, which is especially designed to address anisotropic and directional information at various scales. This transform provides an optimally efficient representation of images, which is greatly reduced the amount of the information and the available information representation. In the paper, introducing the principle of shearlets first, and then proposing the theory of the algorithm and explaining the implementation step. Finally, giving the simulation results. In Matlab simulations with this method for several sets of infrared images, simulation results conformed to the theory on background suppression based on shearlets. The result showed that this method can effectively suppress background, and improve the SCR and achieve a satisfactory effect in the sky background. The method is very effectively for target detection, identification, track in infrared image system for the future.","PeriodicalId":225534,"journal":{"name":"Photoelectronic Technology Committee Conferences","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131038494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulation for spectral response of solar-blind AlGaN based p-i-n photodiodes 太阳盲AlGaN基p-i-n光电二极管光谱响应模拟

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2180105

Shi Xue, Jin-tong Xu, Xiang-yang Li

引用次数: 2

Concept and realization of measuring spatial structure of atmospheric optical turbulence by the fiber optical turbulence sensor array 光纤湍流传感器阵列测量大气光湍流空间结构的概念与实现

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2178434

Qian Wang, Haiping Mei, R. Rao

{"title":"Concept and realization of measuring spatial structure of atmospheric optical turbulence by the fiber optical turbulence sensor array","authors":"Qian Wang, Haiping Mei, R. Rao","doi":"10.1117/12.2178434","DOIUrl":"https://doi.org/10.1117/12.2178434","url":null,"abstract":"In this article, a high quality fiber optical turbulence sensing array contains several sensors is proposed to obtain time series of air refractive index fluctuations. A fixed sensor is supposed to be set as the origin and others to be arranged in Cartesian coordinates respectively. Under the spatial configurations above, two-point correlation algorithm is used to give two order structure parameters and multipoint correlation algorithm for more structure information about scalar turbulence. For each direction, two-point spatial correlation coefficients varying with distance are provided. Meanwhile spatial power spectrum and outer-scales according to the data are introduced. Multipoint correlations can give more structure information such as the interactions between scales and the spatial structure of relevant fluctuations. In the one-dimension circumstance for instance the x-axis, spatial correlation coefficient tends to take oscillation. After a short-time averaging, it tends to decrease with the increase of spatial displacement, and then tends to zero after outer scale. Further study show that within the limit of outer scale, diurnal variation of the spatial correlation coefficient and intensity reveal a higher similarity, the relevancy is about 60% and keeps stable; once the distance goes across the outer scale, they are uncorrelated. In short, utilizing the fiber optical turbulence sensing array is a new method for measuring spatial correlation of optical turbulence. It can overcome some problems from single-point measurement, especially when using Taylor’s frozen-turbulence hypothesis. Some structural information of optical turbulence not only makes the theory of scalar field more abundant, but also in favor of some problems about optical propagation.","PeriodicalId":225534,"journal":{"name":"Photoelectronic Technology Committee Conferences","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122155174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interaction of pulsed laser energy with bow shock in Mach 5 flow 5马赫流中脉冲激光能量与弓形激波的相互作用

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2182137

D. Wang, Q. Li, J. Zhang

引用次数: 0

An infrared image non-uniformity correction algorithm based on pixels’ equivalent integral capacitance 基于像素等效积分电容的红外图像非均匀性校正算法

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2182553

Shuanglei Zhang, Tao Wang, Chun-Mei Xu, Fansheng Chen

引用次数: 0

Research progress and perspective of hyperspectral image projectors 高光谱投影仪的研究进展与展望

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2179863

Lizhi Kang, Xiuing Tang, Yi-huai Xiang, Y. Huang

引用次数: 0

New bionic navigation algorithm based on the visual navigation mechanism of bees 基于蜜蜂视觉导航机制的仿生导航新算法

Photoelectronic Technology Committee Conferences Pub Date : 2015-04-13 DOI: 10.1117/12.2179840

Yufeng Huang, Yi Liu, Jianguo Liu

引用次数: 0