• Media type: Electronic Conference Proceeding
  • Title: Bad pixel detection for on-board data quality improvement of remote sensing instruments in CubeSats
  • Contributor: Florczak, Josua [Author]; Ntokas, Konstantin [Author]; Neubert, Tom [Author]; Zimmermann, Egon [Author]; Rongen, Heinz [Author]; Clemens, Uwe [Author]; Kaufmann, Martin [Author]; Riese, Martin [Author]; van Waasen, Stefan [Author]
  • Published: SPIE, 2022
  • Published in: SPIE 9 pp. (2022). doi:10.1117/12.2633124 ; CubeSats and SmallSats for Remote Sensing VI, San Diego, United States, 2022-08-21 - 2022-08-26
  • Language: English
  • DOI: https://doi.org/10.1117/12.2633124
  • Origination:
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  • Description: 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.
  • Access State: Open Access