|本期目录/Table of Contents|

 基于小波变换的等价图割SAR图像配准方法(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2013年1期
页码:
14
栏目:
精密测量
出版日期:
2013-01-15

文章信息/Info

Title:
 An Equivalence Graph Cut Method Based on Wavelet Transform for SAR Image Registration
作者:
 徐伟1 冷成财1 于乃功2 阮晓钢2
 1. 西北工业大学应用数学系,西安710129;
2. 北京工业大学电子信息与控制工程学院,北京100124
Author(s):
 Xu Wei1 Leng Chengcai1 Yu Naigong2 Ruan Xiaogang2
 1. Department of Applied Mathematics,Northwestern Polytechnical University,Xi’an 710129, China;
2. College of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124, China
关键词:
图像配准小波变换等价图割尺度不变特征变换
Keywords:
 image registration wavelet transform equivalence graph cut scale invariant feature transform
分类号:
-
DOI:
-
文献标识码:
A
摘要:
 为改进SAR图像匹配的稳健性和实时性,提出一种基于小波变换的等价图割SAR图像配准方法. 该方法首先
利用小波变换对图像进行分解,在低频子图像下构造等价图割,克服相干斑噪声干扰,避免NP困难,解决映射函数选
取问题,从图像中分割出精确目标. 其次利用尺度不变特征变换(SIFT)方法实现目标的特征匹配,降低搜索空间特
征点描述,提高实时性. 最后通过匹配关系找到变换参数,实现图像精确配准. 实验结果表明,该方法能快速而精
确地实现SAR图像配准.
Abstract:
 This paper proposes a novel equivalence graph cut method based on wavelet transform for
SAR image registration in order to improve robustness and real-time performance. First, the equiva-
lence graph cut model is constructed in low-frequency sub-images after wavelet transform of image,
which can reduce speckle noise. The proposed model can not only avoid NP-complete problems but also
provide a solution to the choice of mapping function. Then, scale invariant feature transform (SIFT) is
exploited to find the feature matching in the object accurately segmented from the original image so as
to reduce the feature point description of search space and improve real-time performance. Finally, the
accurate SAR image registration is achieved based on the transformation parameters found by matching
relationship. The experimental results show that the proposed method can achieve fast and accurate image registration.

参考文献/References

备注/Memo

备注/Memo:
更新日期/Last Update: 2013-02-22