Predicting range performance of sampled imagers by treating aliased signal as target-dependent noise

Richard H. Vollmerhausen, Ronald G. Driggers, David L. Wilson

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

This paper presents a new theory to predict the impact of sampling on target acquisition. The aliased signal that results from sampling is treated as noise. The aliased signal is different from detector noise in two ways. First, aliasing disappears as the target contrast decreases. Second, the image corruption due to aliasing gets worse with increased range. This is because sampling is constant in angle space, and targets become poorly sampled as range increases. The theory is presented, along with the results of three experiments. The match between model and experiment is excellent.

Original languageEnglish (US)
Pages (from-to)2055-2065
Number of pages11
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume25
Issue number8
DOIs
StatePublished - Aug 2008
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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