多视角属性散射中心模型的部件提取与合成
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摘要
传统的点散射中心模型只能表征目标的位置信息,无法表示目标的长度和角度,而属性散射中心模型表征了目标的几何特性。为了能得到目标的全方位部件信息,鉴于属性散射中心模型参数估计的缘故,提出基于属性散射中心的多视角参数化部件提取与合成算法。首先将大视角有重叠的划分为若干子视角,分别进行属性散射中心模型的参数估计,然后将各参数统一投影到同一坐标系下,再进行参数的融合,最终得到目标参数集。该算法得到的这套参数可以反演目标回波数据,提高图像可视性,进行目标识别与分类。最后用两个仿真实验验证了此算法的有效性。
The traditional point scattering model is no longer valid and the attributed scattering center is put into use when it is necessary to express not only target's position,but also the length and the angle.In order to extract all the view of the target's components and result for the parameters estimation of the attributed scattering center,a new multi-aspect components extraction and fusion method based on attributed scattering center is proposed.First,the full aspect data is divided into several overlapping sub-aspect to estimate the parameters of every sub-apertures.Then the sub-aperture's parameters are projected into the same coordinate system.Finally,all parameters are fused into a parameter set.The proposed method can get a parameter set,which can be used for radar echo inversion,improving the visualization of the radar image,target recognition and classification.Simulation results validate the effectiveness of the novel approach.
The traditional point scattering model is no longer valid and the attributed scattering center is put into use when it is necessary to express not only target's position,but also the length and the angle.In order to extract all the view of the target's components and result for the parameters estimation of the attributed scattering center,a new multi-aspect components extraction and fusion method based on attributed scattering center is proposed.First,the full aspect data is divided into several overlapping sub-aspect to estimate the parameters of every sub-apertures.Then the sub-aperture's parameters are projected into the same coordinate system.Finally,all parameters are fused into a parameter set.The proposed method can get a parameter set,which can be used for radar echo inversion,improving the visualization of the radar image,target recognition and classification.Simulation results validate the effectiveness of the novel approach.
引文
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[15]许然,李亚超,邢孟道.利用稀疏非负矩阵分解的大转角SAR成像方法[J].西安电子科技大学学报,2014,41(3):49-55.XU R,LI Y C,XING M D.Wide angle SAR imaging via sparse non-negative matrix factorization[J].Journal of Xidian University,2014,41(3):49-55.
[2]YU X,FU D,YANG T,et al.The application of negative selection algorithm in multi-angle infrared vehicle images recognition[C]∥Proc.of the 38th IEEE International Conference on Telecommunications and Signal Processing,2015:776-780.
[3]YE C M,XU J,PENG Y N,et al.Key parameter estimation for radar rotating object imaging with multi-aspect observations[J].Science China Information Sciences,2010,53(8):1641-1652.
[4]STOJANOVIC I,CETIN M,KARL W C.Joint space aspect reconstruction of wide-angle SAR exploiting sparsity[C]∥Proc.of the SPIE Defense and Security Symposium,International Society for Optics and Photonics,2008:697005-1-697005-12.
[5]ZHANG H,NASRABADI N M,ZHANG Y,et al.Multi-view automatic target recognition using joint sparse representation[J].IEEE Trans.on Aerospace and Electronic Systems,2012,48(3):2481-2497.
[6]张颖康,肖扬,胡绍海.非合作雷达目标散射中心关联和三维重建算法[J].电子与信息学报,2011,33(9):2076-2081.ZHANG Y K,XIAO Y,HU S H.Method of scattering centers association and 3Dreconstruction for non-cooperative radar target[J].Journal of Electronics and Information Technology,2011,33(9):2076-2081.
[7]LU J,ZHANG B,GUO H,et al.Multi-view matching points extraction algorithm based on union find sets[C]∥Proc.of the 3th International Conference on Artificial Intelligence and Pattern Recognition,2016:1-6.
[8]LI D.A novel method for multi-angle SAR image matching[J].Chinese Journal of Aeronautics,2015,28(1):240-249.
[9]GERRY M J,POTTER L C,GUPTA I J,et al.A parametric model for synthetic aperture radar measurements[J].IEEE Trans.on Antennas and Propagation,1999,47(7):1179-1188.
[10]POTTER L C,MOSES R L.Attributed scattering centers for SAR ATR[J].IEEE Trans.on Image Processing,1997,6(1):79-91.
[11]侯兆国,王超,殷红成.电大复杂目标电磁散射计算的特征基函数方法[J].制导与引信,2009,30(2):24-29.HOU Z G,WANG C,YIN H C.Characteristic basis function method for electromagnetic scattering computation of electrically large complex target[J].Guidance&Fuze,2009,30(2):24-29.
[12]WANG J,WANG F,ZHOU J.Radar target scattering center extraction based on the full-polarization GTD model[C]∥Proc.of the International Joint Conference on Computational Sciences and Optimization,2009:882-885.
[13]DUAN J,ZHANG L,XING M,et al.Polarimetric target decomposition based on attributed scattering center model for synthetic aperture radar targets[J].IEEE Geoscience and Remote Sensing Letters,2014,11(12):2095-2099.
[14]段佳,张磊,邢孟道,等.合成孔径雷达目标特征提取新方法[J].西安电子科技大学学报,2014,41(4):13-19.DUAN J,ZHANG L,XING M D,et al.Novel feature extraction method of synthetic aperture radar targets[J].Journal of Xidian University,2014,41(4):13-19.
[15]许然,李亚超,邢孟道.利用稀疏非负矩阵分解的大转角SAR成像方法[J].西安电子科技大学学报,2014,41(3):49-55.XU R,LI Y C,XING M D.Wide angle SAR imaging via sparse non-negative matrix factorization[J].Journal of Xidian University,2014,41(3):49-55.