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Determination of combined measurement uncertainty via Monte Carlo analysis for the imaging spectrometer ROSIS |
Applied Optics, Vol. 51, Issue 18, pp. 4065-4072 (2012)
http://dx.doi.org/10.1364/AO.51.004065
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Abstract
To enable traceability of imaging spectrometer data, the associated measurement uncertainties have to be provided reliably. Here a new tool for a Monte-Carlo-type measurement uncertainty propagation for the uncertainties that originate from the spectrometer itself is described. For this, an instrument model of the imaging spectrometer ROSIS is used. Combined uncertainties are then derived for radiometrically and spectrally calibrated data using a synthetic at-sensor radiance spectrum as input. By coupling this new software tool with an inverse modeling program, the measurement uncertainties are propagated for an exemplary water data product.
© 2012 Optical Society of America
OCIS Codes
(120.0280) Instrumentation, measurement, and metrology : Remote sensing and sensors
(120.3940) Instrumentation, measurement, and metrology : Metrology
(280.4788) Remote sensing and sensors : Optical sensing and sensors
ToC Category:
Instrumentation, Measurement, and Metrology
History
Original Manuscript: January 5, 2012
Revised Manuscript: April 3, 2012
Manuscript Accepted: April 13, 2012
Published: June 13, 2012
Citation
Karim Lenhard, "Determination of combined measurement uncertainty via Monte Carlo analysis for the imaging spectrometer ROSIS," Appl. Opt. 51, 4065-4072 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-18-4065
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