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作 者:于秉志 卢焕章[1] 陶华敏[1] 肖山竹[1] YU Bing-zhi;LU Huan-zhang;TAO Hua-min;XIAO Shan-zhu(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)
机构地区:[1]国防科技大学电子科学学院,湖南长沙410073
出 处:《激光与红外》2021年第8期1018-1024,共7页Laser & Infrared
摘 要:针对空间目标红外识别系统难以获取目标数据的问题,对目标红外灰度序列进行了仿真研究。通过计算目标和探测器的轨道运动参数,结合目标的微动特性得到探测器平面的投影面积观测模型;并构建目标表面温度分布模型,进而获得探测器接收的目标红外辐射强度序列。与以往方法不同的是,通过进一步考虑探测器自身成像效应,仿真得到了目标红外灰度序列。仿真结果表明不同形状和微动参数的目标红外仿真序列具有不同的周期性,可为红外目标识别算法设计提供数据支持。本文提出的目标数据仿真模型进一步缩小了与真实场景的差距,对空间目标识别系统具有重大意义。Aiming at the problem of acquiring the target data for the infrared space target recognition,a simulation research on the simulation of target infrared grayscale was conducted.By calculating the orbital motion parameters of the target and the detector,combined with the micro-motion characteristics of the target,the projected area observation model of the detector plane was built.Target surface temperature distribution model was built to obtain the target infrared radiation intensity sequence received by the detector.Different from former methods,the imaging effect of infrared detector was considered to achieve the infrared grayscale series.Simulation results demonstrated that targets with different motion parameters and shapes present different sequence periodicity.And the results can provide data support for the remote aerial targets recognition algorithm.The target data simulation model narrowed the gap with the real scene,which was of great significance to the space target recognition system.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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