基于曲线拟合的干涉合成孔径雷达(InSAR)复图像自动配准算法
doi: 10.3724/SP.J.1146.2005.01653
An Image Automatic Registration Algorithm for InSAR Complex Images Based on Curve Fitting
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摘要: 由于乘性噪声和相干斑的存在，干涉合成孔径雷达(InSAR) 复图像对的配准算法比传统的图像配准算法更困难。该文提出了一种基于B-样条曲线拟合和匹配的InSAR复图像对的自动配准算法，能够有效地配准InSAR复图像对。在利用最小二乘法建立配准参数后，应用两步法完成了亚像元级配准。实验结果表明，该算法具有较高的精度和稳健性。Abstract: Due the presence of multiplicative and speckle noise, the method of registering InSAR image is more difficult than traditional image registration methods. In this paper , an automatic InSAR image registration method is presented, based on B-spline curve fitting and matching, that can handle the registration of InSAR image efficiently. After the registration parameters are established by the least square method, a two-step method is applied to registering with sub-pixel accuracy. The experimental results demonstrate the algorithm is of robustness, efficiency and accuracy.
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王超，张红，刘智. 星载合成孔径雷达干涉测量[M]. 北京：科学出版社，2002: 73-79.[2]Huang Zhao-hui and Cohen S. Affine-invariant B-Spline moments for curve matching. IEEE Trans. on Image Processing [J]. 1996, 10(10): 1473-1480.[3]Zitova B and Flusser J. Image registration methods: A survey[J].Image and Vision Computing.2003, 21(4):977-1000[4]Canny J. A computational approach to edge detection[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1986, 8(6):679-698[5]Chang Shih-Hsu, Cheng Fang-Hsuan, and Hsu Wen-Hsing. Fast algorithm for point pattern matching: Invariant to translations, rotations and scale changes[J].Pattern Recognition.1997, 30(2):311-320[6]Cohen F S, Huang Z, and Yang Z. Invariant matching and identification of curves using B-splines curve representation[J].IEEE Trans. on Image Processing.1995, 4(1):1-10 -
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