Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1561-2021
© Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
Prediction model for diffuser-induced spectral features in imaging spectrometers
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Agarwal, G. S., Gbur, G., and Wolf, E.: Coherence properties of sunlight, Opt. Lett., 29, 459–461, https://doi.org/10.1364/OL.29.000459, 2004. a
Ahlers, B., Courreges-Lacoste, G. B., Schrijvers, C., and van Brug, H.:
In-orbit detection of spectral features in SCIAMACHY, in: Sensors, Systems,
and Next-Generation Satellites VIII, Remote Sensing, 4 November 2004, Maspalomas, Canary Islands, Spain, edited by: Meynart, R., Neeck, S. P.,
and Shimoda, H., SPIE, https://doi.org/10.1117/12.565565, 2004. a
Ahn, S. and Fessler, J.: Standard Errors of Mean, Variance, and Standard
Deviation Estimators, available at: https://web.eecs.umich.edu/~fessler/papers/files/tr/stderr.pdf (last access: 15 December 2020), 2003. a
Bevan, A.: Statistical Data Analysis for the Physical Sciences, Cambridge
University Press, https://doi.org/10.1017/cbo9781139342810, 2009. a
Bianco, V., Memmolo, P., Leo, M., Montresor, S., Distante, C., Paturzo, M.,
Picart, P., Javidi, B., and Ferraro, P.: Strategies for reducing speckle
noise in digital holography, Light: Science and Applications, 7, 48,
https://doi.org/10.1038/s41377-018-0050-9, 2018. a