Statistical property analyses of signal and noise in photon imaging system

Yu Huang*, Xiaofang Zhang, Xin Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A novel method of choosing threshold range, which bases on the criterion that the mean value and the variance are equal in Poisson distribution, is proposed to eliminate the background noise in photon images. Point process analysis method is used to study the statistical properties of point target under the photon limited condition and verify the results experimentally. The results show that the detection statistics of point target under the photon limited condition subject to a stationary Poisson point process. Through the point process analysis method, the expectation occurrence-rate of ultra-weak target and the recurrence probability in the follow period can be obtained quickly, which lay the foundations for detection, tracking and location forecasting.

Original languageEnglish
Pages (from-to)340-344
Number of pages5
JournalGuangxue Jishu/Optical Technique
Volume38
Issue number3
DOIs
Publication statusPublished - May 2012

Keywords

  • Photon imaging
  • Poisson distribution
  • Poisson point process

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