摘要
提出一种在不依赖于星等的凸多边形算法基础上构造的三角形算法。将像平面上的恒星依据坐标排序生成具有唯一性的凸多边形,以三角形的边角边作为识别特征,按照顶角排序后删除重复的角度和角距来拟和曲线,可以加快搜索查询匹配速度,进而识别出视场中恒星在赤道坐标系中的坐标,识别速度较快,具有较强的鲁棒性。
A triangle algorithm based on convex polygon with star magnitudes-independed is presented.According to their coordinates' sequence,a unique convex polygon can be obtained using an algorithm of generating convex polygon with the star points on a plane,using the vertex angular and two sides of the triangle as the feature.Deleting the repeated angular and side impersonating a curve,it can promote the matching rate,and get the the equatorial coordinate of the stars in the FOV(field of view),matching rate is faster and has high robustness.
出处
《光学技术》
CAS
CSCD
北大核心
2008年第S1期229-230,共2页
Optical Technique
关键词
星敏感器
星图识别
凸多边形
star sensor
star pattern identification
convex polygon
