摘要
针对深空可见光图像背景特征与目标特性,提出了迭代质心的方法自适应地搜索恒星灰度质心作为特征点并构造基于恒星空间分布的特征模型,实现亚像素级精度的图像序列配准,通过8-邻域联通聚类分析的路径判别法,解决了弱小运动目标实时检测.
Through the analysis of characteristics about background and target in visible optical image of deep outer space,the matching of image sequence at sub-pixel is realized by the method of iterative computing which is proposed to adaptive searching the pixel-mass center of fixed star and the mtxiel of characteristics which is constructed on spatial distribution. Based on image sequence matching and dividing,the arithmetic of real-time detection for dim moving target is designed by the clustering on 8-neighbour-pixel.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2009年第7期1614-1617,共4页
Acta Electronica Sinica
基金
中科院知识创新工程(No.KGCX3-SYW-407-03)
关键词
深空可见光图像
弱小运动目标
实时检测
迭代质心
visible optical image of deep outer space
dim moving target
real time detection
iterative computing of pixel-mass center
