期刊文献+

提高白天观测星体信噪比的方法研究 被引量:30

Improvement of signal to noise ratio in astronomical objects detection in daytime
下载PDF
导出
摘要  为提高对天体目标的检测概率,对多种可提高探测器检测概率的途径进行了研究。研究结果表明:光谱滤波技术能有效提高信噪比。为得到大的探测对比度和信噪比,需合理选取探测系统视场,应保证目标像所占像素个数不小于2×2;还应令系统在不加衰减器的情况下,电荷耦合器件(CCD)接近饱和并保证CCD不饱和。结合探测系统视场的选取,利用形态学方法对图像进行处理,将大大提高探测信噪比,从而大大提高检测概率。 Detection for a faint astronomical object in daytime is an extremely complex issue because of low target-background-contrast and low signal-to-noise ratio. Some ways to improve the detection probability is studied in this paper. The results show, spectral filtering technology is an effective way to improve signal-to-noise ratio. The reasonable choice of field of view is helpful to get higher signal-to-noise ratio and contrast. With the reasonable choice of field of view and the effective application of morphology-based detection algorithm, the detection efficiency could be greatly improved.
出处 《强激光与粒子束》 EI CAS CSCD 北大核心 2003年第12期1151-1154,共4页 High Power Laser and Particle Beams
基金 国家863计划项目资助课题
关键词 微弱星体 检测概率 白天 图像处理 信噪比 Faint astronomical objects Detection efficiency Daytime Image processing Signal-to-noise ratio
  • 相关文献

参考文献8

  • 1Rork E W, Lin S S, Yakutis A J. Ground-based electro-optical detection of artificial satellites in daylight from reflected sunlight[R]. USA:Air Force Research Laboratory, 1982.
  • 2He C, Zhu Q X. A study of technology for detection of nonluminous artificial satellites in daylight[R]. USA: Air Force Research Laboratory, 1996.
  • 3Sandven S C, Browne S L, Dayton D C, et al. Tip-tilt tracker for image stabilization in a daylight speckle imaging system[A]. SPIE[C].1995, 2468: 246-251.
  • 4Dayton D C, Duncan M J, Gonglewski J D. Performance simulations of a daylight low-order adaptive optics system with speckle postprocessing for observation of low-earth orbit satellite[J]. Opt Eng, 1997, 36(7): 1910-1917.
  • 5Xu G X. Optical characteristics of object and environment[M]. Beijing: Space Navigation Press, 1995.
  • 6雷选华,王江安,李树山.海空背景下红外点目标检测算法[J].激光与红外,2001,31(1):32-34. 被引量:18
  • 7Tom V, Peli T, Leung M, et al. Morphology-based Algorithm for point target detection in infrared backgrounds[A]. SPIE[C]. 1995,1957:246-251
  • 8Castleman K R. Digital image processing[M]. New York: Prentice Hall Press, 1996.

共引文献17

同被引文献183

引证文献30

二级引证文献197

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部