Literature DB >> 15813264

Comparison of relative signal-to-noise ratios of different classes of imaging spectrometer.

R Glenn Sellar1, Glenn D Boreman.   

Abstract

The continued development of new and fundamentally different classes of imaging spectrometer has increased both the scope and the complexity of comparisons of their relative signal-to-noise ratios. Although the throughput and multiplex advantages of Fourier-transform spectrometers were established in the early 1950s, the application of this terminology to imaging spectrometers is often ambiguous and has led to some confusion and debate. For comparisons of signal-collection abilities to be useful to a system designer, they must be based on identical requirements and constraints. We present unambiguous definitions of terminology for application to imaging spectrometers and comparisons of signal-collection abilities and signal-to-noise-ratios on a basis that is useful to a systems designer and inclusive of six fundamentally different classes (both traditional and novel) of imaging spectrometers.

Year:  2005        PMID: 15813264     DOI: 10.1364/ao.44.001614

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  Cancer detection from stained biopsies using high-speed spectral imaging.

Authors:  Eugene Brozgol; Pramod Kumar; Daniela Necula; Irena Bronshtein-Berger; Moshe Lindner; Shlomi Medalion; Lee Twito; Yotam Shapira; Helena Gondra; Iris Barshack; Yuval Garini
Journal:  Biomed Opt Express       Date:  2022-03-28       Impact factor: 3.562

2.  Snapshot advantage: a review of the light collection improvement for parallel high-dimensional measurement systems.

Authors:  Nathan Hagen; Robert T Kester; Liang Gao; Tomasz S Tkaczyk
Journal:  Opt Eng       Date:  2012-06-13

3.  Thermal illumination limits in 3D Raman microscopy: A comparison of different sample illumination strategies to obtain maximum imaging speed.

Authors:  Walter Hauswald; Ronny Förster; Jürgen Popp; Rainer Heintzmann
Journal:  PLoS One       Date:  2019-08-13       Impact factor: 3.240

4.  Optimization Model of Signal-to-Noise Ratio for a Typical Polarization Multispectral Imaging Remote Sensor.

Authors:  Ying Zhang; Hao Wang; Heshen Li; Junhua Sun; Huilan Liu; Yingshuo Yin
Journal:  Sensors (Basel)       Date:  2022-09-01       Impact factor: 3.847

  4 in total

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