TY  - CONF
AU  - Florczak, Josua
AU  - Ntokas, Konstantin
AU  - Neubert, Tom
AU  - Zimmermann, Egon
AU  - Rongen, Heinz
AU  - Clemens, Uwe
AU  - Kaufmann, Martin
AU  - Riese, Martin
AU  - van Waasen, Stefan
TI  - Bad pixel detection for on-board data quality improvement in CubeSats
PB  - Universität Duisburg-Essen
M1  - FZJ-2022-04120
PY  - 2022
N1  - Copyright 2022 (year) Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made forpersonal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercialpurposes, or modification of the content of the paper are prohibited.
AB  - 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.
T2  - CubeSats and SmallSats for Remote Sensing VI
CY  - 21 Aug 2022 - 26 Aug 2022, San Diego (United States)
Y2  - 21 Aug 2022 - 26 Aug 2022
M2  - San Diego, United States
LB  - PUB:(DE-HGF)6
UR  - https://juser.fz-juelich.de/record/910750
ER  -