001     910751
005     20250129092409.0
024 7 _ |a 10.1117/12.2633124
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024 7 _ |a 2128/32316
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024 7 _ |a WOS:000878087700002
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037 _ _ |a FZJ-2022-04121
100 1 _ |a Florczak, Josua
|0 P:(DE-Juel1)178033
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|e Corresponding author
|u fzj
111 2 _ |a CubeSats and SmallSats for Remote Sensing VI
|c San Diego
|d 2022-08-21 - 2022-08-26
|w United States
245 _ _ |a Bad pixel detection for on-board data quality improvement of remote sensing instruments in CubeSats
260 _ _ |c 2022
|b SPIE
300 _ _ |a 9
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a conference proceedings
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520 _ _ |a Large commercial of the shelf pixel arrays in current remote sensing instruments used in CubeSats make on-board processing increasingly important and enables data improvement. Therefore, we first consider the individual steps of the adapted bad pixel detection algorithm - ISMFD. In particular, we consider pixel-to-pixel variations and temporal flickering of pixels in commercial of the shelf sCMOS imaging sensors. We were able to detect an increase of bad pixels from (2.05±0.01)% to (4.1±0.1)% using real measurement images of the flying remote sensing instrument AtmoSHINE. A preliminary implemented adaptive on-board binning method was able to achieve a constant signal-to-noise-ratio on an image with a dynamic light intensity. The additional consideration of bad pixels in the binning method could demonstrate the achievement of data quality of the future remote sensing instrument AtmoLITE.
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700 1 _ |a Ntokas, Konstantin
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700 1 _ |a Neubert, Tom
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700 1 _ |a Zimmermann, Egon
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700 1 _ |a Rongen, Heinz
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700 1 _ |a Clemens, Uwe
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700 1 _ |a Kaufmann, Martin
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700 1 _ |a Riese, Martin
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700 1 _ |a van Waasen, Stefan
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773 _ _ |a 10.1117/12.2633124
856 4 _ |u https://juser.fz-juelich.de/record/910751/files/Florczak%20SPIE%202022%20author%20version.pdf
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913 1 _ |a DE-HGF
|b Forschungsbereich Erde und Umwelt
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914 1 _ |y 2022
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