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ID:52387657
大小:3.35 MB
页数:7页
时间:2020-03-27
《红外扫描过采样系统点目标亚像元定位与灰度提取方法研究.pdf》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、第34卷2017年第3期上海AEROSPACE航天SHANGHAI33文章编号:1006—1630(2017)03—0033—07红外扫描过采样系统点目标亚像元定位与灰度提取方法研究林两魁,王少游,任秉文(上海卫星工程研究所,上海201109)摘要:为提高系统的目标测向精度,对一种红外扫描过采样系统对远距点目标亚像元定位和灰度提取方法进行了研究。根据扫描过采样成像特点和模型,给出了基于重心法和最小二乘量子粒子群优化(LS-QPSO)两种过采样点目标亚像元定位技术。前者直接求解过采样图像目标像斑的灰
2、度加权重心,用于点目标亚像元定位;后者基于最小二乘准则建立点目标定位和灰度估计目标函数,引入量子粒子群优化算法求解高维非线性目标函数最优化,同时实现点目标亚像元位置和灰度估计。对Ls-QPSO方法进行拓展以满足对多个邻近点目标分辨需求。仿真结果表明:过采样体制能实现对点目标的亚像元定位;两种方法均能实现对单个点目标的亚像元定位,LS-QPSO性能更优;拓展后的LS_QPSO能实现对邻近多目标的分辨。关键词:点目标;扫描过采样;亚像元定位;灰度估计;最小二乘;量子粒子群优化;重心法;空间邻近目标中图
3、分类号:TP75文献标志码:AD01:10.19328/j.cnki.1006—1630.2017.03.004ResearchonSub—PixelMappingandIntensityExtractionofPointTargetviaInfraredScanningOver-SamplingSystemLINLiang—kui,WANGShaoyou,RENBing—wen(ShanghaiInstituteofSatelliteEngineering,Shanghai201100,Chin
4、a)Abstract:Toimproveprecisionofdirectionfinding,themethodofsub—pixelmappingandintensityextractionofremotepointtargetviainfraredscanningover—samplingsystemwasstudiedinthispaper.AccordingtOthecharacteristicsofover—samplingimageforremoteobjects,twomethod
5、sofsub—pixelmappingforpointtargetwereStudied,whichwerebasedoncenterofgravityandleastsquare—quantum—behavedparticleswarmoptimization(LS-QPSO)respectively.Thefirstonedirectlycalculatesthegray—weightedgravitycenterofover—samplingpixel—clusterfromsDottarg
6、et,whilethelatterutillzestheleast—square(LS)criterion,whereanobjectivefunctionforobject’Ssub-pixelpositionandamplitudeestimationisestablished.Consideringthehighdimensionandnon-linearityofthefunction。auantum—behavedparticleswarmoptimizationisadoptedtOr
7、ealizetheoptimizationoftheobjectivefunctionandtoextractthestateofthepointtarget.Further,theLS-QPSOmethodisimprovedtOresolvemultiplecloselvsDacedobjects.Resultsshowthatbothmethodscaneffectivelyrealizesub—pixelmappingforpointtarget,andtheLSQPSOobtainssl
8、ightlybetterperformance.TheI.S-QPSOcanfurtherrealizeresolutionofcloselyspacedobjectsontheoversamplingscanningimagemeanwhile.Keywords:pointtarget;scanningover—sampling;sub—pixelmapping;intensityestimation;leastsquare;quantum-behavedparticleswar
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