基于级联变换的光学和SAR图像配准算法

针对光学和SAR（Synthetic Aperture Radar）图像配准中存在明显辐射和几何差异的问题,提出了一种基于级联变换的多源遥感图像配准方法.首先,利用灰度变换提取光学和SAR图像间的稳定结构特征,去除辐射差异性;然后,提出一种新的加权对数极坐标变换算法,解决图像间全局几何差异性,保证算法的尺度和旋转不变性,并初步得到整体的平移量;最后,通过局部几何变换,得到一系列的匹配点对,构建薄板样条模型,实现图像的精确配准.实验验证了算法去除辐射差异性和获得全局几何变换参数的能力,与传统的多源图像配准算法相比,基于级联变换的配准算法鲁棒性好,配准精度高....

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Bibliographic Details
Published in红外与毫米波学报 Vol. 34; no. 4; pp. 486 - 492
Main Author 王峰 尤红建
Format Journal Article
LanguageChinese
Published 中国科学院电子学研究所,北京100190 2015
中国科学院研究生院,北京100190%中国科学院电子学研究所,北京100190
中国科学院空间信息处理与应用系统技术重点实验室,北京100190
Subjects
加权对数极坐标变换
图像配准
相位一致性
级联变换
相位一致性
weight log-polar transform
图像配准
cascade transforms
phase congruency
级联变换
registration
加权对数极坐标变换
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ISSN1001-9014
DOI10.11972/j.issn.1001-9014.2015.04.018

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Summary:针对光学和SAR（Synthetic Aperture Radar）图像配准中存在明显辐射和几何差异的问题,提出了一种基于级联变换的多源遥感图像配准方法.首先,利用灰度变换提取光学和SAR图像间的稳定结构特征,去除辐射差异性;然后,提出一种新的加权对数极坐标变换算法,解决图像间全局几何差异性,保证算法的尺度和旋转不变性,并初步得到整体的平移量;最后,通过局部几何变换,得到一系列的匹配点对,构建薄板样条模型,实现图像的精确配准.实验验证了算法去除辐射差异性和获得全局几何变换参数的能力,与传统的多源图像配准算法相比,基于级联变换的配准算法鲁棒性好,配准精度高.
Bibliography:registration; cascade transforms; phase congruency; weight log-polar transform
WANG Feng;YOU Hong-Jian （1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 2. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 3. Graduate School, Chinese Academy of Sciences, Beijing 100190, China）
31-1577/TN
Because that there are obvious differences of radiometric and geometric in SAR and optical image registration,this article presents a method based on cascade transform（ CT） to register SAR and optical images. To remove radiation differences,gray transformation was used to extract stable structure information for the SAR and optical images. Then,Weighted-Logarithmic-Polar transformation is proposed to obtain scale and rotation parameters between the images,solving the global geometric differences. Finally,local geometric transform is conducted to get accurate matches and the image
ISSN:1001-9014
DOI:10.11972/j.issn.1001-9014.2015.04.018