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立体航空影像中的对极线自动纠正方法
Automatic Rectification Method of Stereo Aerophoto Epipolar Line
【摘要】 本文首先根据航空影像的获取过程和对极几何的约束条件给出计算变换参数的方程,然后用SUSAN(Smallest Univalue Segment Assimilating Nucleus)算子自动检测出两幅图像的角点并完成对应角点对的匹配,将角点对的坐标代入方程中,通过最小二乘法求出变换参数,最后根据变换参数对于图像进行纠正。
【Abstract】 The paper proposed a novel and simple method to align two areophotos, it is based the progression analysis of areophotos acquirement and constrain of epipolar geometry, By using SUSAN operator to calculate the corners ,and construction the correspondence of the corners from two images, then using the corners to calculate the transform parameters, finally rectification can be completed by using the parameters. The experiment proved the algorithm are efficient and robust.
【关键词】 角点提取;
SUSAN算法;
对极几何;
最小二乘法;
图像纠正;
【Key words】 corner extraction; SUSAN operator; epipolar geometry; least square method; image rectification;
【Key words】 corner extraction; SUSAN operator; epipolar geometry; least square method; image rectification;
【基金】 本文研究得到国家“九五”重点科技攻关资助(96—B02-01-05)
- 【文献出处】 信号处理 ,Signal Processing , 编辑部邮箱 ,2003年05期
- 【分类号】TP391.41
- 【被引频次】4
- 【下载频次】91