基于自适应窗口选择PIV技术的序列星图运动估计方法  

Motion estimation algorithm of serial star images based on adaptive window selection PIV technique

作　　者：陈维真[1] 陈标[2] 张春华[2] 宋汝刚[2] 

机构地区：[1]中国海洋大学信息技术学院,山东青岛266000 [2]海军潜艇学院卫星遥感应用研究所,山东青岛266000

出　　处：《光学精密工程》2008年第7期1279-1284,共6页Optics and Precision Engineering

基　　金：国家863高技术研究发展计划资助项目(No.2006AA0627)

摘　　要：提出了一种基于自适应窗口选择粒子图像测速(PIV)技术的序列星图运动参数估计算法。算法通过自适应选取窗口,使得分析窗口内恒星的成像密度达到最大,且窗口边缘区域不存在高亮恒星成像,然后对分析窗口进行互相关计算,求得序列星图的运动参数。仿真试验表明,本文的算法克服了恒星进场或出场导致分析窗口互相关计算精度降低的现象,提高了互相关运动参数估计的精度,将估计误差降低到了0.01 pixel以内。该算法可以准确、快速地对星图的全局运动参数进行估计,为序列星图配准奠定了基础。A motion estimation algorithm of serial star images based on adaptive window selection PIV technique is proposed. The algorithm chooses the analysis window of maximum energy by an adaptive method. Then, the global motion parameters can be estimated through the cross-correlation of two analysis windows. The experimental results show that the presented algorithm improves the precision of parameter estimation, and overcomes the influence introduced by stars moving in or moving out of the analysis window. The algorithm reduces the estimation error to less than 0.01 pixel and can estimate the global motion parameters with high accuracy and high speed. It provides a good way for solving star image matching.

关 键 词：粒子图像测速 自适应窗口 星图 运动估计 互相关 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TB934[自动化与计算机技术—计算机科学与技术]