基于DHGF算法的激光线扫描成像引信目标识别方法
|
摘要
为了解决目前目标识别方法应用平台难以实现小体积、低成本的问题,利用线扫描完成激光引信的探测成像,得到了DHGF算法的样本矩阵,建立了基于激光线扫描成像引信的四元评价算法对典型目标的识别模型。该模型使用德尔菲法确定目标轮廓相似度指标集;采用层次分析法确定指标权重分配;运用灰色系统理论确定评价灰类,得到单因素模糊评判矩阵;通过模糊数学理论得出目标识别的评价结果。该算法克服了在小样本数据的情况下,目标识别过程中的模糊性、不确定性等问题,并完成了对典型目标的仿真。仿真结果表明:该算法具备对典型目标的识别能力,可为激光扫描成像引信目标识别提供参考。
Current target recognition method application platform is difficult to achieve small size and low cost,the detection imaging of the laser fuze is obtained by the line scanning. The sample matrix of the DHGF algorithm is obtained,and a quaternary evaluation algorithm based on laser line scanning imaging fuze is established for recognition model of typical target,which uses Delphi method to determine target contour similarity index set. Analytic hierarchy process(AHP) is adopted to determine the index weight distribution,and grey system theory is applied to determine evaluation gray level to get single factor fuzzy evaluation matrix. Fuzzy mathematics theory is applied to evaluate target recognition results. The algorithm overcomes the ambiguity and uncertainty in target recognition process in the case of small sample data. The simulation of a typical target is completed,and the simulation results show that the proposed algorithm has ability to recognize typical targets. The research can provide a reference to laser scanning imaging target recognition.
Current target recognition method application platform is difficult to achieve small size and low cost,the detection imaging of the laser fuze is obtained by the line scanning. The sample matrix of the DHGF algorithm is obtained,and a quaternary evaluation algorithm based on laser line scanning imaging fuze is established for recognition model of typical target,which uses Delphi method to determine target contour similarity index set. Analytic hierarchy process(AHP) is adopted to determine the index weight distribution,and grey system theory is applied to determine evaluation gray level to get single factor fuzzy evaluation matrix. Fuzzy mathematics theory is applied to evaluate target recognition results. The algorithm overcomes the ambiguity and uncertainty in target recognition process in the case of small sample data. The simulation of a typical target is completed,and the simulation results show that the proposed algorithm has ability to recognize typical targets. The research can provide a reference to laser scanning imaging target recognition.
引文
[1]Wei B,Zheng L,Wang K Y,et al.A new method for detecting plane target by imaging in laser fuze[J].Opto-Electronic Engineering,2005,32(1):36-39.魏斌,郑链,王克勇,等.一种激光引信成像探测新方法[J].光电工程,2005,32(1):36-39.
[2]Meng F,Xia Z H,Qiang Z J,et al.Edge detection algorithm of intensity image for laser active imaging[J].Laser&Infrared,2013,43(10):1192-1196.孟飞,夏朝辉,强钲捷,等.激光主动成像图像边缘检测算法研究[J].激光与红外,2013,43(10):1192-1196.
[3]Liu Y,Zhao G Z,Shen Y C.Polarization imaging detection based on the continuous terahertz wave[J].Chinese Journal of Lasers,2016,43(1):0111001.刘影,赵国忠,申彦春.连续太赫兹波偏振成像检测[J].中国激光,2016,43(1):0111001.
[4]Wu M Q,Li Z W,Zhong K,et al.Adaptive point cloud registration method based on geometric features and photometric features[J].Acta Optica Sinica,2015,35(2):0215002.伍梦琦,李中伟,钟凯,等.基于几何特征和图像特征的点云自适应拼接方法[J].光学学报,2015,35(2):0215002.
[5]Xu W X,Zhang Q S.Study on evaluation method for information system projects from qualitative analysis to quantitative analysis[J].System Engineering-Theory&Practice,2001,21(3):124-127.徐维祥,张全寿.从定性到定量信息系统项目评价方法研究[J].系统工程理论与实践,2001,21(3):124-127.
[6]Yan X W,Deng J H,Sun Z H.Modelling and simulation of laser imaging system based on linear array detection[J].Transaction of Beijing Institute of Technology,2010,30(4):456-459.闫小伟,邓甲昊,孙志慧.线阵扫描式激光成像探测系统建模与仿真[J].北京理工大学学报,2010,30(4):456-459.
[7]Vasile A N,Marino R M.Pose-independent automatic target detection and recognition using 3D laser radar imagery[J].Lincoln Laboratory Journal,2005,15(1):61-78.
[8]Jin C F,Zhao Y,Zhang Y,et al.Experimental research on a scannerless 3D imaging laser radar[J].Chinese Journal of Lasers,2009,36(6):1383-1387.靳辰飞,赵远,张勇,等.一种无扫描三维成像激光雷达的实验研究[J].中国激光,2009,36(6):1383-1387.
[9]Andrew A M.Why the world is grey[J].Grey Systems:Theory and Application,2011,1(2):112-116.
[10]Liu S F,Cai H,Yang Y J,et al.Advance in grey incidence analysis modelling[J].Systems Engineering-Theory&Practice,2013,33(8):2041-2046.刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[11]Xiao Y S,Zhou J J,Liu S F,et al.Radar target recognition by high-resolution range profile based on gray system[J].Control and Decision,2011,26(7):1036-1040.肖永生,周建江,刘思峰,等.基于灰色系统的雷达目标高分辨距离像识别[J].控制与决策,2011,26(7):1036-1040.
[2]Meng F,Xia Z H,Qiang Z J,et al.Edge detection algorithm of intensity image for laser active imaging[J].Laser&Infrared,2013,43(10):1192-1196.孟飞,夏朝辉,强钲捷,等.激光主动成像图像边缘检测算法研究[J].激光与红外,2013,43(10):1192-1196.
[3]Liu Y,Zhao G Z,Shen Y C.Polarization imaging detection based on the continuous terahertz wave[J].Chinese Journal of Lasers,2016,43(1):0111001.刘影,赵国忠,申彦春.连续太赫兹波偏振成像检测[J].中国激光,2016,43(1):0111001.
[4]Wu M Q,Li Z W,Zhong K,et al.Adaptive point cloud registration method based on geometric features and photometric features[J].Acta Optica Sinica,2015,35(2):0215002.伍梦琦,李中伟,钟凯,等.基于几何特征和图像特征的点云自适应拼接方法[J].光学学报,2015,35(2):0215002.
[5]Xu W X,Zhang Q S.Study on evaluation method for information system projects from qualitative analysis to quantitative analysis[J].System Engineering-Theory&Practice,2001,21(3):124-127.徐维祥,张全寿.从定性到定量信息系统项目评价方法研究[J].系统工程理论与实践,2001,21(3):124-127.
[6]Yan X W,Deng J H,Sun Z H.Modelling and simulation of laser imaging system based on linear array detection[J].Transaction of Beijing Institute of Technology,2010,30(4):456-459.闫小伟,邓甲昊,孙志慧.线阵扫描式激光成像探测系统建模与仿真[J].北京理工大学学报,2010,30(4):456-459.
[7]Vasile A N,Marino R M.Pose-independent automatic target detection and recognition using 3D laser radar imagery[J].Lincoln Laboratory Journal,2005,15(1):61-78.
[8]Jin C F,Zhao Y,Zhang Y,et al.Experimental research on a scannerless 3D imaging laser radar[J].Chinese Journal of Lasers,2009,36(6):1383-1387.靳辰飞,赵远,张勇,等.一种无扫描三维成像激光雷达的实验研究[J].中国激光,2009,36(6):1383-1387.
[9]Andrew A M.Why the world is grey[J].Grey Systems:Theory and Application,2011,1(2):112-116.
[10]Liu S F,Cai H,Yang Y J,et al.Advance in grey incidence analysis modelling[J].Systems Engineering-Theory&Practice,2013,33(8):2041-2046.刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[11]Xiao Y S,Zhou J J,Liu S F,et al.Radar target recognition by high-resolution range profile based on gray system[J].Control and Decision,2011,26(7):1036-1040.肖永生,周建江,刘思峰,等.基于灰色系统的雷达目标高分辨距离像识别[J].控制与决策,2011,26(7):1036-1040.