基于相关函数法的InSAR复合图像配准

Yeke Tang, Jinyi Zhang, Zhihang Chen, Zhaoyang Zeng, Sili Wu, Hui Wang
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引用次数: 0

摘要

InSAR技术是从同一地物两次SAR观测得到的复杂数据的相位差和空间距离差中提取地表变形和DEM高程信息。SAR复合图像配准是干涉SAR数据处理的关键步骤。由于SAR数据复杂且具有高散斑噪声的特点,SAR图像配准的难度远远大于光学图像配准。为了获得高质量的相位信息,图像对之间的配准精度需要达到亚像素级。本文采用基于相关函数法的InSAR复合图像配准算法。相关函数是干涉SAR图像配准中具有鲁棒性和通用性的测量函数。根据相关函数的实相关和复相关计算,分析了实相关和复相关函数的自适应,计算了配准灵敏度和相干系数。对于复杂陨石坑的真实SAR数据,实验结果表明该算法具有良好的性能,可以有效地提高配准精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InSAR complex image registration based on correlation function method
InSAR technology is to extract the surface deformation and DEM elevation information from the phase difference and spatial distance difference of complex data obtained by SAR observation of the same ground object twice. SAR complex image registration is a key step in interferometric SAR data processing. Because SAR data is complex and has the characteristics of high speckle noise, SAR image registration is far more difficult than optical image registration. In order to obtain high quality phase information, the registration accuracy between image pairs needs to reach sub-pixel level. InSAR complex image registration algorithm based on correlation function method is adopted in this paper. Correlation function is a robust and universal measure function for interferometric SAR image registration. According to the real and complex correlation calculation of correlation functions, the adaptation of real and complex correlation functions was analyzed, and the registration sensitivity and coherence coefficient were calculated. For the real SAR data of complex crater, the experimental results show that the algorithm has good performance and can effectively improve the registration accuracy.
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