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时空过采样系统及其在点目标检测中的性能仿真
引用本文:董玉翠,陈凡胜,苏晓锋,龚学艺,李真真.时空过采样系统及其在点目标检测中的性能仿真[J].光学精密工程,2014,22(9):2498-2507.
作者姓名:董玉翠  陈凡胜  苏晓锋  龚学艺  李真真
作者单位:1. 中国科学院 上海技术物理研究所, 上海 200083; 2. 中国科学院 红外探测与成像技术重点试验室, 上海 200083; 3. 中国科学院大学, 北京 100049
基金项目:中国科学院知识创新工程资助项目(No.O9KBD013G0)
摘    要:从成像探测体制出发,对过采样扫描系统的光学系统、电子学系统等模块分别进行了数学建模,并对点目标和场景图像进行了仿真实验。仿真过程中提出了一种对有限图像大量分割代替连续图像的建模思想和方法,在matlab环境中对源点目标图像和场景以及探测器扫描积分过程进行仿真,并对过采样图像进行图像融合。仿真结果给出了不同过采样倍数以及点目标位于不同相位时的信噪比变化和信噪比随积分时间增长的变化曲线。仿真结果表明,过采样探测系统融合后的图像虽然能够增大点目标在图像上的尺寸,但融合后的图像会增大高频噪声,造成检测概率降低,虚警率增大。文章最后给出了利用小孔模拟点目标成像的实验,进一步证实了仿真结果的正确性,说明时空过采样系统并不适合用于点目标检测。

关 键 词:成像系统  时空过采样  数学建模  点目标检测  扫描成像
收稿时间:2013/10/9

Temporal-spatial oversampling system and its performance analysis in point target detection
DONG Yu-cui , CHEN Fan-sheng , SU Xiao-feng , GONG Xue-yi , LI Zhen-zhen.Temporal-spatial oversampling system and its performance analysis in point target detection[J].Optics and Precision Engineering,2014,22(9):2498-2507.
Authors:DONG Yu-cui  CHEN Fan-sheng  SU Xiao-feng  GONG Xue-yi  LI Zhen-zhen
Affiliation:1. Shanghai Institute of Technical Physics of Chinese Academy of Sciences, Shanghai 200083, China; 2. Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:This paper focuses on the mathematical modeling of an oversampling scanning optical system and an electronic system as well as the imaging simulation for point targets and scene images. It proposes new modeling idea and method to divide the finite images into large numbers of simulate analog images. By using this method, the processes of point target imaging, scene imaging and scanning and energy integral are simulated in matlab, and reconstructed images are obtained. The simulation experiment presents the trends of Signal to Noise Ratios(SNRs) with different oversampling times and the SNRs of point target located at different phases, as well as the trend of SNR with integration time increasing. The result shows that the reconstructed image increases the high frequency noise so that to reduces the detection probability and enlarges the false alarm, although it increases the size of the point target in the reconstructed image. At last, it gives the result of the point target imaging experiment based on pinholes, which verifies further the validity of the simulation results, and points out that the oversampling system is unfit for the point target detection.
Keywords:imaging system  time-spatial oversampling  mathematical modeling  point target detection  scanning imaging
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