光学精密工程2012，Vol.20Issue(11)：2507-2515,9.DOI:10.3788/OPE.20122011.2507
分块峰值点局部区域生长的星像提取
Star image extracting based on local region growing around peaks in blocks
摘要
Abstract
To improve the precision, update rate and the anti-noise ability of star sensors, this study was focused on the extraction of star images. Firstly, the criterion to confirm whether a pixel attributes to the same star coverage with the local maximum pixel was established according to the gray distributing features of star images. Then, several kinds of methods for image extraction were introduced, such as the block division of imaging array, and the prediction of background noise. Finally, by regarding the peak value pixel as the origin of the circular region growing, the local region growing criterion was set up successfully based on the gray distributing features of star images. The simulation conducted in the case of no noises shows that all of the simulated star images in the reference star map can be extracted successfully, and the sub-pixel location accuracy is 0. 028 2 pixel by using centroidmethod. Moreover, under upmost adverse condition with a Gaussian noise mean value of 20 and standard variance as high as 2. 5, the success extraction rate can still reach 86. 11 % with a decreased centroiding accuracy of 0. 219 6 pixel. The test about a faint star image in a star map with poor uniformity and a low SNR of 4. 9 dB also proves the excellent detection ability of the proposed method, and it shows advantages of good real-time property and high correct extracting rate for star images.关键词
星敏感器/质心提取/分块/区域生长法/高斯分布/星图处理Key words
star sensor/ star image extracting/ blocking/ region growing/ Gaussian distribution/ starmap preprocess分类
航空航天引用本文复制引用
王海涌,武文卿,薛晓峰,赵彦武..分块峰值点局部区域生长的星像提取[J].光学精密工程,2012,20(11):2507-2515,9.基金项目
航空科学基金项目(No.2007ZC51027) （No.2007ZC51027）
