特征光谱还原的导弹尾焰识别算法设计  

Detection and recognition algorithm for missile tail flame based on feature spectral restoration

作　　者：黄达 黄树彩[1] 赵炜[1] 刘锦昌[1] 

机构地区：[1]空军工程大学防空反导学院,陕西西安710051

出　　处：《激光与红外》2017年第12期1505-1509,共5页Laser & Infrared

基　　金：国家自然科学基金项目(No.61573374);青年国家自然科学基金项目(No.61503408);航空科学基金项目(No.20150196006)资助

摘　　要：因大气吸收因素,天基红外探测器在2.7μm,4.3μm波段附近探测不到大气层内导弹尾焰,本文提出光谱还原算法,根据除这两波段外的其他波段处的辐射强度,估计出这两波段处的辐射强度,运用高斯函数和一元二次函数单波峰、可调节的特性,还原2.7μm,4.3μm附近的波峰,使得天基红外探测器可实现大气层内的导弹探测识别,并提出理论数据库的构建理论,弥补当前导弹尾焰光谱数据库更新周期长,数据量大的不足,考虑实际上探测器光谱分辨率有限,提出四点线型判断算法,利用光谱角测度,在计算机上仿真,证实此系列方法可行。The tail flame of the missile has the characteristics of high temperature, high brightness and large area, and the tail flame contains a lot of water and carbon dioxide,so that the flame spectrum of the missile has a peak near the wavelengths of 2. 7 μm and 4. 3 μm. For the radiations at the two wavelengths, a spectral restoration algorithm was proposed. Based on the radiation intensities at other wavelengths except the two wavelengths, the radiation intensities at the two wavelengths are estimated. According to the single peak and the adjustable characteristic of the Gaussian func- tion and the univariate function, the peaks at two wavelengths can be restored, thus, detection and recognition of the missile in the atmosphere can be achieved through the space-based infrared detectors, and the theoretical database was constructed. To make up for the disadvantages of long spectrum database update cycle and great data for the current missile tail flame, considering actual spectral resolution of the detector, a four-point linear, decision algorithm was pro- posed, and the feasibility of a series of methods has been proved by simulation.

关 键 词：导弹尾焰 天基红外探测 光谱还原 光谱数据库 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]