Generalized signal-to-noise ratio for spectral sensors with correlated bands

Zhipeng Wang, J Scott Tyo, Majeed M. Hayat

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Traditional spectral sensors are intentionally designed to minimize overlap among spectral response functions of different bands. In contrast, some emerging classes of spectral sensors exhibit significant band overlap. An effect introduced by such band overlap is that the photodetector noise of one band is coupled into the others in subsequent data processing steps. Because of this, the traditional band-by-band definition of signal-to-noise ratio (SNR) cannot fully describe the detector's noise level. We devise a general definition of SNR in spectral space based on a recently developed geometrical spectral imaging model [J. Opt. Soc. Am. A 24, 2864 (2007)]. With this model, we can find an orthogonal basis of the spectral response functions for the spectral sensor with decreasing instrument SNRs. We can also define the average instrument SNR for the whole sensor, which makes it possible to characterize quantitatively the photodetector noise of a spectral sensor with correlated bands.

Original languageEnglish (US)
Pages (from-to)2528-2534
Number of pages7
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume25
Issue number10
DOIs
StatePublished - Oct 1 2008

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Signal-To-Noise Ratio
Noise
Signal to noise ratio
signal to noise ratios
sensors
Sensors
Photodetectors
spectral sensitivity
photometers
Detectors
Imaging techniques
emerging
detectors

ASJC Scopus subject areas

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

Cite this

Generalized signal-to-noise ratio for spectral sensors with correlated bands. / Wang, Zhipeng; Tyo, J Scott; Hayat, Majeed M.

In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 25, No. 10, 01.10.2008, p. 2528-2534.

Research output: Contribution to journalArticle

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