Improving co-registration accuracy of interferometric SAR images using spectral diversity
Improving co-registration accuracy of interferometric SAR images using spectral diversity
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DOI：
10.1109/igarss.1999.772069
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发表时间：
1999-06
期刊：
影响因子：
--
通讯作者：
R. Scheiber;A. Moreira
中科院分区：
文献类型：
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作者：
R. Scheiber;A. Moreira
复杂SAR图像的共配准是SAR干涉测量中的一个关键问题，特别是在重复通过的情况下，当相对采集几何形状不具有足够的精度，并且无法先验地考虑近似地形高程变化时。考虑到未来干涉SAR系统将在更高分辨率下工作，对平台位置和姿态精度的要求将不断提高。本文提出了一种确定两幅干涉SAR图像相对配准误差的新算法。该方法基于复杂SAR信号的频谱分集特性。评估不同光谱外观的相位信息，给出逐像素的错配信息。实验结果表明，该算法的精度优于传统方法。它在测量亚像素级的配准错误时表现最好。不需要传统技术中的图像对比度。最后，利用DLR机载E-SAR传感器的干涉数据验证了该方法的有效性。
The co-registration of complex SAR images is a key problem in SAR interferometry, especially in the repeat-pass case, when the relative acquisition geometry is not known with sufficient accuracy and the approximate terrain elevation changes cannot be considered a priori. Considering that future interferometric SAR systems will operate at higher resolutions the requirements on the accuracy of platform position and attitude will permanently increase. This article presents the application of a new algorithm for the determination of the relative misregistration errors between two interferometric SAR images. The method is based on spectral diversity properties of the complex SAR signals. The phase information of different spectral looks is evaluated giving a misregistration information on a pixel by pixel basis. It is shown that the accuracy of the proposed algorithm is superior to the conventional techniques. It performs best when measuring misregistration errors on a subpixel level. Image contrast as in conventional techniques is not required. Interferometric data of the airborne E-SAR sensor of DLR are used to show the performance of the proposed method.