%0 Conference Paper
%A Florczak, Josua
%A Ntokas, Konstantin
%A Neubert, Tom
%A Zimmermann, Egon
%A Rongen, Heinz
%A Clemens, Uwe
%A Kaufmann, Martin
%A Riese, Martin
%A van Waasen, Stefan
%T Bad pixel detection for on-board data quality improvement in CubeSats
%I Universität Duisburg-Essen
%M FZJ-2022-04120
%D 2022
%Z 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.
%X 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.
%B CubeSats and SmallSats for Remote Sensing VI
%C 21 Aug 2022 - 26 Aug 2022, San Diego (United States)
Y2 21 Aug 2022 - 26 Aug 2022
M2 San Diego, United States
%F PUB:(DE-HGF)6
%9 Conference Presentation
%U https://juser.fz-juelich.de/record/910750