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A High-Accuracy Interferometric SAR Images Registration Strategy Combined with Cross Correlation and Spectral Diversity

机译：高精度干涉测量SAR图像登记策略结合互相关和光谱分集

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摘要

For the image registration of interferometric SAR, there is a contradiction between the registration accuracy and the robustness based on the traditional cross correlation and spectral diversity methods. To eliminate the contradiction, this paper proposes an image registration strategy combined with the respective advantages of above two methods. Its improvements are summarized as follows. Firstly, it divides the image registration process into two main steps. Step one is oriented to the image registration in the range direction based on cross correlation to enhance the robustness. Step two is oriented to the image registration in the azimuth direction based on spectral diversity to ensure the registration accuracy. Secondly, a method for detecting and correcting the singular values in the range pixels offsets is proposed in step one. It can reduce the impact of low-correlation regions. Finally, a hybrid filtering method is introduced for the azimuth pixels offsets in step two to reduce the impact of phase noise. Airborne dual-antenna data are employed to validate the effectiveness of the proposed strategy.
机译：对于干涉测量SAR的图像登记，基于传统交叉相关和光谱分集方法，在登记精度和鲁棒性之间存在矛盾。为了消除矛盾，本文提出了一种与两种方法的相应优势相结合的图像配准策略。其改进总结如下。首先，它将图像配准进程划分为两个主要步骤。基于交叉相关性以增强鲁棒性，步骤1在范围方向上定向到图像配准。基于频谱分集，步骤2面向方位方向上的图像配准，以确保注册精度。其次，在步骤1中提出了一种用于检测和校正范围像素偏移中的奇异值的方法。它可以减少低相关区域的影响。最后，在步骤2中引入混合滤波方法，用于减少相位噪声的影响。空中双天线数据用于验证拟议策略的有效性。

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