基于Fourier-Mellin变换和相干系数法的重复轨道干涉SAR图像配准新方法
A New Image Registration Method for Repeat-Pass InSAR Based on Fourier-Mellin Transformation and Correlation-Coefficient Algorithm
查看参考文献13篇
文摘
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相对于单轨双天线InSAR系统,重复轨道InSAR系统由于轨道不能完全平行,导致InSAR图像对间存在夹角,使其配准更为困难.该文针对非平行重复轨道的InSAR问题,提出了一种结合Fourier-Mellin变换和相干系数法的InSAR图像配准算法,对存在夹角的SAR复图像对进行精确配准.该方法用于粗配准时,通过引入非线性图像幅度变换预处理,克服了Fourier-Mellin变换无法直接处理SAR图像对幅度分布动态范围大且不均匀的问题,而用于精配准时,通过引入相干系数法,精确估计了复图像对之间存在的微小角度.以SIR-C/X重复轨道的X波段SAR数据为例,详细比较了传统相干系数配准算法和该文算法在配准精度和计算时间上的差异,从而验证了算法的有效性. |
其他语种文摘
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Compared with one pass InSAR system with two antennae, the registration of image pair of repeat-pass InSAR system is much more difficult due to parallel tracks are usually not guaranteed. In this paper, a new image co-registration algorithm for repeat-pass InSAR, which combines the Fourier-Mellin transform and correlation-coefficient algorithm, is proposed to perform accurate co-registration for complex image pair having rotation angle due to unparallel tracks. When the method is used as coarse co-registration step, a nonlinear amplitude transformation is introduced as pre-processing to overcome the failure of Fourier-Mellin transformation method in case of image pair with large dynamic amplitude range and non-uniform amplitude distribution, and when used as fine co-registration step, correlation-coefficient algorithm is incorporated to accurately estimate the small rotation angle between image pair. SIR-C/X X-band experimental data are used to test the proposed algorithm through comparing with traditional correlation-coefficient algorithm in both accuracy and run time. The experimental results prove the effectiveness of the proposed algorithm. |
来源
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电子与信息学报
,2009,31(4):803-807 【核心库】
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关键词
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干涉合成孔径雷达
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重复轨道
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图像配准
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Fourier-Mellin变换
;
相干系数法
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地址
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中国科学院空间科学与应用研究中心, 北京, 100190
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1009-5896 |
学科
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电子技术、通信技术 |
文献收藏号
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CSCD:3581517
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