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1、第18卷第8期光学精密工程Vol.18No.82010年8月OpticsandPrecisionEngineeringAug.2010文章编号1004-924X(2010)08-1807-07复眼位标器的标定与探测王克逸,张浩,曹兆楼,郭方,吴青林,闫佩正(中国科学技术大学精密机械与精密仪器系,安徽合肥230027)摘要:介绍了一种新型大视场、高灵敏度的复眼位标器,用于探测低空飞行目标并快速获取目标物体的运动参数。叙述了复眼模型的结构和制作方法,并利用Zemax对子眼成像通道光线追迹考察其成像特性。介绍了复眼标定与探测方法。采用基于LM算法的神经网络训练,建立各个通道精确的物像对应
2、关系。为了检验神经网络标定算法的效果,采用传统的基于二次多项式拟合的算法进行校正对比。仿真结果表明,神经网络算法可以提供更好的精度,从像点可以准确-3-4地预测主光线的方向角(10~10rad),而且具有易于集成,方便快捷的特点。此外,进行了目标定位检测的仿真实验,计算了若干目标点的坐标,结果表明各个坐标相对误差均在3%以内,对于牺牲空间横向分辨率来提升视场角的复眼光学系统,该结果符合目标探测的要求。关键词:复眼;神经网络;位置探测;中图分类号:TH703文献标识码:Adoi:10.3788/OPE.20101808.1807Calibrationanddetectionofcom
3、poundeyemodelWANGKe-yi,ZHANGHao,CAOZhao-lou,GUOFang,WUQing-lin,YANPe-izheng(DepartmentofPrecisionMachineryandPrecisionInstrumentation,UniversityofScienceandTechnologyofChina,Hefei23002,China)Abstract:Anewcompoundeyemodelwithwiderfieldsofviewandhigheragilitywasintroducedtotrackthelow-flyingtarg
4、etsinacomplexbackground.ThestructionandpreparationofthecompoundeyemodelweredescribedanditsimagingchannelsweretracedbyZamaxtoevaluatedimagingcharac-teristics.Thecalibrationanddetectionofthecompoundeyewereintroduced,thenLMneuralnetworkcalibrationalgorithmwastrainedtobuildtherelationshipbetweenob
5、jectpointsandcorrespondingim-agepoints.Thiscalibrationalgorithmprovidesanaccuratedirectionanglepredictionfromtheircorre-spondingimagepoints,anditiseasytointegrateintothesystem.Preliminaryexperimentalresultsforneuralnetworkcalibrationwerepresentedandevaluated,whichshowsthattheresidualerrorsbe--
6、3-4tweenactualandmeasureddirectionanglesarearound10~10rad.Indetectionsimulationexper-iments,severalpointswerecalculatedandresultsshowthattheerrorsbetweenactualandcalculatedcoordinatesofpositionarewithin3%.Thisisagoodresultforthecompoundeyesensorthatsacr-ificesthespatialresolutiontoimprovethean
7、gleresolution.Keywords:compoundeye;neuralnetwork;positiondetection收稿日期:2009-11-19;修订日期:2010-01-18.基金项目:航空科学基金资助项目(No.20080178002)1808光学精密工程第18卷球冠面上密布了子眼透镜,复眼的整体视场角为1引言90b,相邻子眼通道在视场上存在重叠。在优化了子眼通道的数目和重叠系数之后,一定范围内的复眼由于其视场大和灵敏度高等特性日益受单目标物体可
