在上述改进的角点检测算法基础上，本文提出了结合区域匹配的图像自动配准算法。
Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.
为了实现多模态图像间的快速自动配准，本文提出了基于角点检测结合区域匹配的图像自动配准算法。
In order to realize fast automatic registration among multimodal images, an image registration method using both corners and area-based matching is presented in thesis.
基于人工通过地物结构推理匹配关系进行配准的想法，提出了一种基于结构的SAR图像自动配准算法。
Based on the idea that human observers could greatly simplify the matching problem at the level of object structure, a structure-driven SAR image automatic registration algorithm was proposed.
本文提出的算法适应性较强，在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。
In this paper, the algorithm adapted, in the repetitive texture, such as relatively large rotation more difficult to automatically match occasions can still achieve an accurate image registration.
本文提出的算法适应性较强，在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。
In this paper, the algorithm adapted, in the repetitive texture, such as relatively large rotation more difficult to automatically match occasions can still achieve an accurate image registration.
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