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.
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 equivalence 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.
出处
《纳米技术与精密工程》
CAS
CSCD
2013年第1期14-19,共6页
Nanotechnology and Precision Engineering
基金
国家自然科学基金资助项目(61075110)
西北工业大学基础研究基金资助项目(JC20110277)
关键词
图像配准
小波变换
等价图割
尺度不变特征变换
image registration
wavelet transform
equivalence graph cut
scale invariant featuretransform
