基于目标特性的欠采样等效模糊模型
Received:February 24, 2017  Revised:September 08, 2017  点此下载全文
引用本文:杨 翠,尹姝婷,张延涛,吴鑫.基于目标特性的欠采样等效模糊模型[J].Journal of Infrared and Millimeter Waves,2017,36(6):713~719
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Author NameAffiliationE-mail
YANG Cui School of Physics and Optoelectronic Engineering, Xidian University ycxd503@126.com 
YIN Shu-Ting School of Physics and Optoelectronic Engineering, Xidian University  
ZHANG Yan-Tao Northwest institute of Mechanical & Electrical Engineering  
WU Xin   
基金项目:航空科学(20122481002);高等学校学科创新引智计划(B17035)
中文摘要:探测器的空间离散欠采样会对成像效果产生影响,所以欠采样效应的量化方法一直是光电成像系统性能评估研究的重要课题。文章结合人眼视觉特性,提出了一种基于目标特性的欠采样等效模糊模型,将系统对欠采样的容忍度和目标的有效频谱理念引入到欠采样的量化模型中,实现了对采样系统性能的有效评估,从根本上解决了传统模型在预测欠采样对目标识别性能影响方面的诸多不足。
中文关键词:光电成像系统  欠采样  混淆信号  目标有效频谱  等效模糊模型
 
Target-characteristics-based equivalent blur model for under-sampled imaging systems
Abstract:Discrete spatial under-sampling effect of the detector array has a great impact on the imaging results, so the quantitative method of the under-sampling effects is a crucial issue for the performance evaluation of an electro-optical imaging system. Considering the human visual characteristics, a target-characteristics-based equivalent blur model for under-sampled imaging systems is proposed. The introduction into the model of the tolerance of the under-sampling system to the spurious response and the effective frequency spectrum makes the newly proposed model more accurate in the prediction of the target discrimination performance of an under-sampled imaging system.
keywords:electro-optical imaging systems  under-sampling  aliasing signal  the effective target spectrum  the equivalent blur model
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