基于DSP的漂移扫描CCD星图快速识别  

Fast identification of star images from drift-scan CCD based on DSP

作　　者：杨会玲[1,2] 王军[1] 柳红岩 何昕[2] 张新[2] 

机构地区：[1]苏州科技学院电子与信息工程学院,江苏苏州215000 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130033

出　　处：《光电子．激光》2015年第12期2417-2422,共6页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金(11043001)资助项目

摘　　要：为了提高漂移扫描CCD的识别速度,实现同步卫星实时定轨,提出基于数字信号处理器(DSP,digital signal processor)的星图快速识别算法。在嵌入式DSP数据处理平台上优化传统的三角形识别算法,采用二次匹配识别算法,即分区间筛选子星表中参考星参与初匹配,利用初匹配结果推算CCD底片模型,根据背景恒星与子星表参考星的对应关系将所有恒星进行二次匹配。对分辨率为1 528×1 528实拍星图的实验处理结果表明,由于引入了DSP与改进了识别算法,在很大程度上加快了漂移扫描CCD星图识别速度,所耗时间仅为传统星图识别算法的50%,且识别成功率达到98.4%。to improve identification speed of star images which are taken by drift-scan CCD and realize real-time orbit determination of synchronous satellite, a fast star image identification algorithm based on DSP is proposed. The big data is calculated on the platform of embedded DSP,on this basis,the twice match method which is an optimized triangle identification method is proposed to accelerate the calculation speed. The main steps of the new method are that selecting reference stars from the star catalogue as the form of interval to as the first matching reference stars, then calculating the CCD negative model based on first matching outcomes, the CCD negative model represents the relationship between background stars and reference stars in catalog, in the end, matching all stars based on the CCD negative model. The experiment results of star images whose resolution is 1528 × 1528 show that because of introducing DSP and improving identification method, the identification speed is become faster in a great part. The processing time taken by new method is only 50% than that of traditional triangle identification algorithm. Meanwhile the identification rate is up to 98.4%. The outcomes of the experiences validate the advantages of the new method on aspect of real time capability and identification rate.

关 键 词：漂移扫描CCD 星图识别 CCD底片模型 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]