利用仿射变换作为变换模型，根据变换参数将输入图像与参考图像进行配准。
The affine transform as a model to register input image and referenced image based on the parameters of transform were used.
提出了一种基于空间关系一致性的图像自动配准方法，处理具有全局仿射变换的图像配准问题。
An automatic image registration method based on spatial relation consistency is proposed to deal with the registration of images with affine geometric distortion.
该方法在基于控制点的多项式粗配准的基础上，利用分类图像相关实现了基于仿射变换模型的精配准。
A feature matching (algorithm based) on classification is proposed, which uses the correlation of the classified images to realize a precise registration after a coarse (registration).
针对不同视场的多源图像融合技术，本文提出一种仿射变换和线性插值相结合的配准方法；
Zhendui different field of multi-source image fusion, we propose a affine transformation and linear combination of registration methods;
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
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