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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
引用本文:刘宝泉, 冯大政, 李军侠, 武楠. 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[J]. 电子与信息学报, 2007, 29(7): 1666-1669. doi: 10.3724/SP.J.1146.2005.01653
作者姓名:刘宝泉  冯大政  李军侠  武楠
作者单位:西安电子科技大学雷达信号处理重点实验室,西安,710071;西安电子科技大学雷达信号处理重点实验室,西安,710071;西安电子科技大学雷达信号处理重点实验室,西安,710071;西安电子科技大学雷达信号处理重点实验室,西安,710071
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。

关 键 词:SAR  B-样条曲线拟合  配准  曲线匹配  亚像元级
文章编号:1009-5896(2007)07-1666-04
收稿时间:2005-12-22
修稿时间:2005-12-222006-07-10

An Image Automatic Registration Algorithm for InSAR Complex Images Based on Curve Fitting
Liu Bao-quan, Feng Da-zheng, Li Jun-xia, Wu Nan . An Image Automatic Registration Algorithm for InSAR Complex Images Based on Curve Fitting[J]. Journal of Electronics & Information Technology, 2007, 29(7): 1666-1669. doi: 10.3724/SP.J.1146.2005.01653
Authors:Liu Bao-quan  Feng Da-zheng  Li Jun-xia  Wu Nan
Affiliation:National Lab. for Radar Signal Processing, Xidian University, Xi’ an 710071, China
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.
Keywords:SAR   B-spline curve fitting   Registration   Curve matching   Sub-pixel accuracy
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