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快速区域互相关InSAR图像配准方法 被引量：1

Fast Region Correlation SAR Image Coregistration Method Based on Interferometric Phase Effect Elimination
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摘要 在分析复图像干涉相位对快速互相关算法配准精度影响的基础上,提出了一种快速区域互相关InSAR图像配准方法。该方法对图像的幅度谱进行区域相关操作,获得干涉相位空间角频率的粗估计,并对主图像进行干涉相位补偿。该算法通过上述步骤消除干涉相位变化对算法的影响实现了高精度配准。在仿真实验和实测实验中,通过与传统的快速区域互相关算法及最大频谱法进行对比,验证了本文算法的稳健性与有效性。 The complex image coregistration problem of interferometric synthetic aperture radar is addressed. By analyzing the effect of interferometric phase on the registration precision, a fast region correlation interferometric synthetic aperture radar （InSAR） image coregistration method is proposed. Firstly, it performs the fast region correlation technique on the magnitude-spectrum of two complex images, and then the spatial frequency of interferometric phase can be obtained coarsely. The estimated phase is compensated for the master image. The fast region correlation eoregistration method based on the interferometric phase effect elimination can achieve a high accuracy. The robustness of the proposed method can be verified by the simulated experimental results comparing with the correlation matching algorithm. The efficiency of the proposed method is demonstrated by actual data experimental comparing with the spec- tral maximum matching algorithm.
作者 刘钰菲 廖桂生 杨志伟
机构地区 西安电子科技大学雷达信号处理国家重点实验室
出处 《数据采集与处理》 CSCD 北大核心 2011年第5期526-530,共5页 Journal of Data Acquisition and Processing
基金 国家自然科学基金(60971108 60901066)资助项目 教育部博士点基金(20090203120006)资助项目
关键词 干涉合成孔径雷达 复图像配准 快速区域互相关算法 干涉相位补偿 interferometric synthetic aperture radar （InSAR）~ complex image coregistration fast region correlation coregistration method interferometric phase compensation
分类号 P237 [天文地球—摄影测量与遥感]
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参考文献15

  • 1Fornaro G, Franceschetti G. Image registration in interferometrie SAR processing[J]. IEE Proceedings, Radar, Sonar and Navigation, 1995, 142(6): 313-320.
  • 2Rosen P A, Hensley S, Joughin I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88(3): 333-342.
  • 3Zitova B, Flusser J. Image registration methods: a survey [J]. Image and Vision Computing, 2003, 21 (2) :977-1000.
  • 4张登荣,俞乐.一种高精度的干涉雷达复数影像配准方法[J].遥感学报,2007,11(4):563-567. 被引量：17
  • 5Brown L G. A survey of image registration techniques[J]. ACM Computing Survey, 1992, 24(4): 326-376.
  • 6Li H, Manjunath B S, Mitra S K. A eontour-based approach to multisensor image registration[J]. IEEE Trans Image Processing, 1995, 4(3): 320-333.
  • 7Dai X, Khorram S. A feature-based image registration algorithm using improved chain-code representa- tion combined with invariant moments [J]. IEEE Trans, Geoscience and Remote Sensing, 1999, 37 (5) : 2351-2362.
  • 8韦燕凤,赵忠明,闫冬梅,曾庆业.基于特征的遥感图像自动配准算法[J].电子学报,2005,33(1):161-165. 被引量：27
  • 9Kumar S, Arya K V, Rishiwal V, et al. Robust image registration technique for SAR images [C]// First International Conference on Industrial and Information Systems. Piscataway, N J, USA: IEEE, 2006: 519-524.
  • 10Stone H S, Wolpov R. Blind cross-spectral image registration using prefiltering and Fourier-based translation detection [J]. IEEE Trans Geoscience and Remote Sensing, 2002, 40(3) : 637-650.

二级参考文献33

  • 1张登荣,刘辅兵,俞乐,蔡志刚,邓超.基于Harris算子的遥感影像自适应特征提取方法[J].国土资源遥感,2006,18(2):35-38. 被引量：15
  • 2TOWNSHEND J R G, JUSTIC C O, GUMEY C, et al. The impact of misregistraticn on change detection[J]. IEEE Trans, 1992, Geoscience and Remote Sensing, 1992,30(5) : 1054 - 1060.
  • 3BROWN L G. A survey of image registration techniques[ J ]. Comput Surv, 1992,24(4) :325 - 376.
  • 4LI H, MANJUNATH B S, MITRA S K. A contottr-based approach to multisensor image registration [J]. IEEE Trans, 1995, Image Processing,1995,4(3) :320 - 333.
  • 5DAI X, KHORRAM S. A feature-based image registration algorithm using improved chain-code representation combined with invariant moments[J]. IEEE Trans, 1999, Geoscience and Remote Sensing,1999,37(5) :2351 - 2362.
  • 6STONE H S, WOLPOV R. Blind cross-spectral image registration using pretilering and Fourier-based translation detection[J].IEEE Trans,2002, Geoscience and Remote Sensing,2002,40(3) :637 - 650.
  • 7REDDY B S, CHATIERJI B N. An FFT-based technique for translation, rotation, and scale-invariant image registration [J].IEEE Trans, 1996, Image Processing, 1996.5(8) : 1266 - 1271.
  • 8FLUSSER J, SUK T. A moment-based approach to registration of Images with affine geometric distortion[J]. IEEE Trans. 1996,Geoscience and Remote Sensing, 1996,32(2) :382 - 387.
  • 9CANNY J. A computational approach to edge detection [J]. IEEE Trans, 1986, PAMI-8(6) :679 - 698.
  • 10YANG Qing-You,WANG Chao.Registration of INSAR Complex Images and Interferogram Enhancement [J].Remote Sensing Technology and Application,1997,12(4):36-45.(In Chinese)

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数据采集与处理
2011年 第5期

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