引用本文: 黄攀, 唐劲松, 钟何平, 徐魁. 基于有理函数曲面拟合的InSAS复图像配准新方法[J]. 武汉大学学报 ( 信息科学版), 2019, 44(4): 601-607.
HUANG Pan, TANG Jinsong, ZHONG Heping, XU Kui. A New InSAS Registration Method Based on Rational Function Surface Fitting[J]. Geomatics and Information Science of Wuhan University, 2019, 44(4): 601-607.
 Citation: HUANG Pan, TANG Jinsong, ZHONG Heping, XU Kui. A New InSAS Registration Method Based on Rational Function Surface Fitting[J]. Geomatics and Information Science of Wuhan University, 2019, 44(4): 601-607.

## A New InSAS Registration Method Based on Rational Function Surface Fitting

• 摘要: 复图像配准是干涉合成孔径声纳（interferometric synthetic aperture sonar，InSAS）信号处理中非常关键的环节，配准质量的好坏直接影响到后续的干涉图生成和数字高程重建。从InSAS成像的几何关系出发，推导出偏移量和斜距的有理函数关系，进而提出了基于有理函数曲面拟合的InSAS复图像配准方法。与传统的多项式曲面拟合方法相比，该方法具有拟合精度高、计算量小的优点。以均方根误差、相关系数、残余点数目和计算时间作为评价标准，利用仿真数据和真实湖试数据验证了该方法的有效性。

Abstract: Complex image registration is a crucial step in interferometric synthetic aperture sonar (InSAS) signal processing. The registration quality directly influences the generation of interferogram and subsequent reconstruction of digital elevation model (DEM). Utilizing the geometric model of ima-ging, the rational function relationship between offset and slant range is deduced, thus this paper propose a new InSAS complex image registration method based on second-order rational function surface fitting. Compared with the traditional polynomial surface fitting method, the proposed method in this paper has the advantages of higher precision and smaller calculation cost. The evaluation has been carried out using the root mean squared error(RMSE), correlation coefficient, residue numbers and computing time as the criteria. Simulation and real data experiments results indicate the validity of the proposed method.

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