摘要
针对远距离空中弱目标光学探测的需求,提出天基探测系统性能表征与关键指标匹配设计方法.首先立足于天基光学探测全链路,分析得出影响天基观测条件下空中复杂环境背景中弱目标光学探测的主要因素,包括场景杂波、探测系统的光谱辐射尺度、几何尺度等;然后对上述影响因素进行表征建模,建立目标的图像信噪比与影响要素之间的关系模型,即探测系统性能表征模型;最后以典型探测场景为例,通过研究目标在不同场景杂波及探测多尺度耦合特性下的信噪比变化规律,提出探测谱段优选及其与空间分辨率的匹配设计建议,可为我国天基探测系统设计、指标论证、信息处理算法优化提供理论依据与科学指导.
Aiming for long-distance optical detection of weak aerial targets, we in this paper propose a method of performance characterization and key indexes matching design for a space-based detection system. Firstly, we analyze the main factors that affect the optical detectability of weak targets under complex environment based on the full link of the space-based detection system, including scene clutter, spectral radiation scale and geometric scale of detection system, etc. We then combine the above influencing factors to establish a performance characterization model which represents the relationship between the image signal-to-noise ratio of target and the above-mentioned influencing factors, that is, the performance representation model of the detection system. Finally, taking a typical detection scene as an example, by studying signal-to-noise ratio of target under different scene clutter and multi-scale coupling characteristics, the optimization of detection spectrum and its matching design with spatial resolution are proposed, which can provide theoretical basis and scientific guidance for the design of the space-based detection system, demonstration of system indexes and optimization of information processing algorithms.
作者
乔凯
智喜洋
杨冬
巩晋南
胡建明
QIAO Kai;ZHI Xi-Yang;YANG Dong;GONG Jin-Nan;HU Jian-Ming(Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China;Research Center for Space Optical Engineering,Harbin Institute of Technology,Harbin 150001,China;Beijing Institute of Spacecraft System Engineering,Beijing 100094,China)
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2019年第5期642-647,共6页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金(61605035)~~
关键词
空中弱目标
天基探测
探测性能表征模型
谱段优选
匹配设计
weak aerial target
space-based detection
characterization model of detection performance
spectral optimal selection
matching design
