Comparison between a low-light-level visible channel and an IR channel for spaceborne night imaging

Guy Raz, Meira Citroen, Michael Berger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at night time spaceborne imaging, we compare the expected performances of a low-light-level visible sensor with a conventional IR sensor. The low-light-level visible sensor, an electron multiplier CCD (EMCCD), is a close to ideal photon counting device, with possibly negligible dark current noise and negligible readout noise. This fact, along with the significant improvement of diffraction (about an order of magnitude), suggests an interesting competition between the two technologies. In essence, this is a tradeoff between noise and optical performances (favoring the visible channel) and basic target radiance (favoring IR). Other factors such as reliability and cost can also play an important role. While we consider two different spectral ranges with different imaging content, we are able to conduct a cautious theoretical comparison based on standard targets in various lighting conditions. We show that for a given set of system parameters, even when lighting conditions are favorable, i.e. a night with a full moon, the low-light-level visible channel performances are inferior to those of an IR channel. We also comment on the significance of the system working point regarding performances under varying condition.

Original languageEnglish
Title of host publicationInfrared Technology and Applications XXXIV
DOIs
StatePublished - 26 Jun 2008
Externally publishedYes
EventInfrared Technology and Applications XXXIV - Orlando, FL, United States
Duration: 17 Mar 200820 Mar 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6940
ISSN (Print)0277-786X

Conference

ConferenceInfrared Technology and Applications XXXIV
Country/TerritoryUnited States
CityOrlando, FL
Period17/03/0820/03/08

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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