基于特征点集的匹配算法应用于卫星姿态确定

蔡晓东; 叶培建

基于特征点集的匹配算法应用于卫星姿态确定

蔡晓东¹,
叶培建²

1.
中国空间技术研究院?总体部,北京 100094
2. 北京航空航天大学计算机学院,北京 100083

详细信息

作者简介:
蔡晓东(1972-),男,湖北枝城人,博士生, caixiaodong@cast.cn.

中图分类号: TP 391
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- 文章访问数: 3300
- HTML全文浏览量: 155
- PDF下载量: 1202
- 被引次数: 0
出版历程
- 收稿日期: 2005-07-12
- 网络出版日期: 2006-02-28

Image matching algorithm based on feature point set for satellite attitude calculation

Cai Xiaodong¹,
Ye Peijian²

1.
Department of Integration Engineering, China Academy of Space Technology, Beijing 100094, China
2. School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 综合了灰度与几何特征匹配方法,依据局部纹理能量分布选取特征点集,并利用特征点集的几何约束关系构建了可描述图像整体特征的模板.通过逐步求精方法实现了实时图像与基准图像的匹配.首先通过特征点集匹配进行粗搜索;然后通过精搜索以及角度校正得到实时图像中目标偏移旋转量.该特征点集算法与传统图像匹配算法相比较,在保证精度的基础上能提高匹配速度,且具有一定的旋转不变性和抗噪性.仿真实验证明了该算法的可行性.
- 卫星 /
- 图像匹配 /
- 能量法
Abstract: Gray scale and geometry feature approaches were integrated. Feature point set was selected according to local texture energy distribution and geometry constraint of feature point set was utilized to construct templates describing the holistic feature of the image. A stepped refining image matching algorithm was introduced. Coarse searching was performed first by feature point set registration, thereafter fine searching and angle correction was processed so that the object translation and rotation in the real-time image can be obtained. Compared with traditional image registration methods, this algorithm can enhance the matching speed while maintaining high matching precision with rotation invariance and noise depression capability. The application of such algorithm is verified by simulated experiments.
- satellite /
- image matching /
- energy method

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参考文献(1)

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