针对图像配准中的亚像素参数估计问题，提出了一种相位相关和模板匹配相结合的方法。
In order to deal with the problem of the estimation of image registration parameter, this thesis ADAPTS the way of combining the methods of phase correlation and template matching.
幅度增益和相位误差使得高分辨率的参数估计算法的性能下降，特别是相位的误差，将会引起参数估计的偏离。
Amplitude gain and phase error would lead to performance degradation of high-resolution parameter estimation algorithms; especially the phase errors will cause deviation of parameter estimation.
分析了多雷达信号融合中的幅度相位模型，并基于旋转不变技术提出一种新的幅度相位补偿参数估计方法。
The amplitude-phase compensation model of multi-band radar signal fusion is analyzed and the new amplitude-phase compensation algorithm based on the ESPRIT is presented.
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