光学精密工程2011，Vol.19Issue(9)：2186-2196,11.DOI:10.3788/OPE.20111909.2186
基于FKICA-SIFT特征的合成孔径图像多尺度配准
SAR image multi-scale registration based on FKICA-SIFT features
摘要
Abstract
In order to realize automatic registration of a Synthetic Aperture Radar(SAR) image, an approach of image multi-scale registration based on affine invariant Fast Kernel Independent Component Analysis-Scale Invariant Feature Transform(FKICA-SIFT) features is presented. First, the affine invariant SIFT descriptors are constructed according to the Hessian matrix of feature points. The FKI-CA is used to extract the independent components of the affine invariant SIFT descriptors to obtain new descriptors (FKICA-SIFT). After filtering the input images by using Steerable pyramid, the new descriptors are used to match the feature points detected from the synthetic images of the band-pass sub-images in each layer. Finally, a coarse-to-fine procedure is adopted for gradual optimizing transformation parameters to achieve the multi-scale registration results. Experimental results show that the correct matching rate of proposed algorithm is more than 85 % when the threshold is less than 0. 7and that is more than 90% when the threshold is less than 0. 5. The registration accuracy of the proposed algorithm can achieve sub-pixel level and it is better than those of SIFT, PCA-SIFT, ICA-SIFT and SURF methods. It has been applied to accurate detection of the changes of the Tangjiashan waters before and after the Wenchuan earthquake, and obtained results meet the requirements of accurate registration for SAR images.关键词
图像配准/合成孔径雷达图像/尺度不变特征变换/快速核独立成分分析Key words
image registration/ Synthetic Aperture Radar (SAR) image/ Scale Invariant Feature Transform(SIFT)/ Fast Kernel Independent Component Analysis(FKICA)分类
信息技术与安全科学引用本文复制引用
刘向增,田铮,史振广,陈占寿..基于FKICA-SIFT特征的合成孔径图像多尺度配准[J].光学精密工程,2011,19(9):2186-2196,11.基金项目
国家自然科学基金资助项目(No.60972150 （）
No.109261971) （）
