摘要
提出了一种新的星图图像提取方法,根据星图图像局部熵的变化,得到恒星在星敏感器中成像的目标区域,然后利用求质心的方法,得到亚像素的恒星位置.给出了图像局部熵的快速计算方法.图像的局部熵具有平滑滤波作用,并且能消除背景照度不均匀产生的灰度起伏现象.仿真实验结果表明,这种方法适合于含有系统噪声和随机噪声的点目标图像提取;在最大随机噪声<5%的情况下,利用这种方法提取的质心位置的误差<1/20.
A new method of star image high precision extraction has been introduced. The new method is basis of the variety of local entropy of the star sensor image, gained the objective region of star imaging, and then using the centroid method, getting the subpixel position of navigation star. The fast calculate method of the local entropy was provided. The local entropy method has the function of filter to random noise and can eliminate the background grey wavy phenomena, therefore, the mehod is fit for a point objective image extract, which includes the random and system noise. The simulation experimential result indicates that the star locating precision less than 1/20 using the method in random noise less than 5%.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2005年第8期1068-1070,共3页
Journal of Harbin Institute of Technology
基金
国家自然科学基金资助项目(60174031)
国家民用航天预研资助项目
国家高技术研究发展计划资助项目
关键词
星图
局部熵
天文导航
星敏感器
质心
star image
local entropy
Autonomous navigation
star sensor
centroid
