未知DEM下的机载SAR图像几何校正方法研究
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摘要
针对机载环境复杂,不确定因素众多,与图像相对应的DEM不能精确获得等影响校正的不利因素,研究基于先验条件而不依赖DEM的机载SAR图像几何校正方法。从产生畸变的原理和校正过程的本质出发,将不同的几何校正理论在成像原理层面进行统一;在此基础上,分析精确校正所需要的条件,并提出当条件不能满足时的基于统计模型的几何校正方法;继而提出基于不同先验条件的校正方案决策模型。仿真实验及基于配准区域的保真度评价结果验证了所提方法的有效性。
A set of geometric calibration method for airborne SAR image based on prior conditions was proposed,which is independent of DEM and could applied to the complex environment in airplane with uncertainty factors.First,different calibration algorithms were analyzed and unified according to the SAR imaging theory and the geometric distortion course;and then,necessary conditions for precise correction algorithm based on the determinate model were studied,and a calibration algorithm based on the statistic model was put forward when essential conditions could not be satisfied;subsequently,a decision model of calibration scheme was proposed on the basis of different prior conditions.Experimental results of calibration algorithms and fidelity evaluations based on region registration show the validity of the method proposed here.
A set of geometric calibration method for airborne SAR image based on prior conditions was proposed,which is independent of DEM and could applied to the complex environment in airplane with uncertainty factors.First,different calibration algorithms were analyzed and unified according to the SAR imaging theory and the geometric distortion course;and then,necessary conditions for precise correction algorithm based on the determinate model were studied,and a calibration algorithm based on the statistic model was put forward when essential conditions could not be satisfied;subsequently,a decision model of calibration scheme was proposed on the basis of different prior conditions.Experimental results of calibration algorithms and fidelity evaluations based on region registration show the validity of the method proposed here.
引文
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[2]BAO Zheng,XI N Meng-dao,WANG Tong.Radar Ima-ging Technique[M].Beijing:Publishing House of Elec-tronics Industry,2005.保铮,邢孟道,王彤.雷达成像技术[M].北京:电子工业出版社,2005.
[3]YANG Wei-dong,ZHANG Tian-xu,WANG Xin-sai,et al.Analysis of Hypsography Influence on the Positioning Performance of Radar Scene Matching[J].Infrared and La-ser Engineering,2003,32(3):304-308.(杨卫东,张天序,王新赛,等.地面起伏对雷达景象匹配定位性能影响的分析[J].红外与激光工程,2003,32(3):304-308.)
[4]WANG Pei-jun,XU Ya-ming.Theory of Photogrammetric Mapping[M].Wuhan:Wuhan University Press.2005.(王佩军,徐亚明.摄影测量学[M].武汉:武汉大学出版社,2005.)
[5]GAO She-sheng,LI Xin-hua.Application of I NS/SARIn-tegrated Navigation Position Technique[M].Xi’an:North-west Industry University Press,2004.(高社生,李华星.I NS/SAR组合导航定位技术与应用[M].西安.西北工业大学出版社,2004.)
[6]YE Qin,LI Qi-yan.Impact of Terrain Undulations onIma-ging and Radar Scene Matching[J].Acta Geodaetica et Cartographica Sinica,2002,31(1):50-55.(叶勤,李启炎.地面起伏对成像及雷达景象匹配的影响[J].测绘学报,2002,31(1):50-55.)
[7]ZHU Cai-ying,XU Qing,WU Cong-hui,et al.Study of Mathematical Models for Airborne SARImage Rectification[J].Chinese Journal of Remote Sensing,2003,7(2):112-117.(朱彩英,徐青,吴从晖,等.机载SAR图像几何纠正的数学模型研究[J].遥感学报,2003,7(2):112-117.)
[8]MANDELBROT B B,Van NESS H W.Fractional Brown-ian Motions,Fractional Noises and Applications[J].SI AM Rev,1968,10(4):422-437.
[9]HU Ying,YANGJie,ZHOU Yue.Multiscale Wiener Fil-ter for the Estimation of Signal Embeddedin1/f Noise[J].Acta Electronica Sinica,2003,31(4):560-563.(胡英,杨杰,周越.基于多尺度Wiener滤波器的分形噪声滤波[J].电子学报,2003,31(4):560-563.)
[10]XI AO Guo-chao,ZHU Cai-ying.Radar Photogrammetry[M].Beijing:Earthquake Press,2001.(肖国超,朱彩英.雷达摄影测量[M].北京:地震出版社,2001.)
[11]CI MMI NO S,FRANCESCHETTI G,IODICE A,et al.Efficient Spotlight SAR Raw Signal Simulation of Extend-ed Scenes[J].IEEE Transactions on Geoscience and Re-mote Sensing,2003,41(10):2329-2337.
[12]LI U Yang,ZHAO Feng-wei,JI NShan-liang.New Meth-od of Selecting Scene Matching Reference Map[J].Infra-red and Laser Engineering,2001,30(3):168-170.(刘扬,赵峰伟,金善良.景象匹配区选择方法研究[J].红外与激光工程,2001,30(3):168-170.)
[13]MORI MOTO C,CHELLAPPA R.Evaluation of Image Stabilization Algorithms[A].Proceedings of IEEE Inter-national Conference on Acoustics,Speech and Signal Pro-cessing[C].Seattle:IEEE Xplore,1998.2789-2792.
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