摘要
基于合成孔径雷达(SAR)图像和光学图像间的变形可用仿射变换来近似,提出了一种SAR图像和光学图像自动配准的方案。对分割后的图像进行KL变换得到两幅图像的主分量与坐标轴之间的关系,从而得出两幅图像的角度关系,接着,利用旋转后图像的横纵象素范围的比值和前景重心偏移值得到仿射变换的缩放和平移参数,最后再利用二值图像相关对仿射变换的结果图像进行精配,从而实现较高精度的图像配准。实验结果表明,在满足精度要求的情况下,本方法可以自动完成具有明显方向性和较大前景目标图像的配准任务。
Since the distortion between synthetic aperture radar （SAR） and optical images is almost an affine transform. In this paper, K-L transformation is applied on segmented images to determine the relationship between the principal components of both images and the coordinate, thus the rotational angle between images is acquired. Then the ratio of extent in vertical and horizontal directions and the centroids position of foreground area are used to determine the scaling and translational parameters respectively. Finally, the affine-transformed result is refined by binary image correlation to achieve high precise image registration. Experimental results indicated that this method can perform automatic registration under precision acquirement especially for images with orientation and large foreground area.
出处
《电波科学学报》
EI
CSCD
北大核心
2006年第3期416-421,共6页
Chinese Journal of Radio Science
基金
国家自然科学基金资助项目(60072041
40376051)
关键词
合成孔径雷达
图像配准
仿射变换
K-L变换
synthetic aperture radar, image registration, affine transform, K-L transform
