Bad pixel detection for on-board data quality improvement of remote sensing instruments in CubeSats

Josua Florczak; Konstantin Ntokas; Tom Neubert; Egon Zimmermann; Heinz Rongen; Uwe Clemens; Martin Kaufmann; Martin Riese; Stefan van Waasen

doi:10.1117/12.2633124

30 September 2022 Bad pixel detection for on-board data quality improvement of remote sensing instruments in CubeSats

Josua Florczak, Konstantin Ntokas, Tom Neubert, Egon Zimmermann, Heinz Rongen, Uwe Clemens, Martin Kaufmann, Martin Riese, Stefan van Waasen

Author Affiliations +

Proceedings Volume 12236, CubeSats and SmallSats for Remote Sensing VI; 1223603 (2022) https://doi.org/10.1117/12.2633124
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

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-ration 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.

Conference Presentation

Citation Download Citation

Josua Florczak, Konstantin Ntokas, Tom Neubert, Egon Zimmermann, Heinz Rongen, Uwe Clemens, Martin Kaufmann, Martin Riese, and Stefan van Waasen "Bad pixel detection for on-board data quality improvement of remote sensing instruments in CubeSats", Proc. SPIE 12236, CubeSats and SmallSats for Remote Sensing VI, 1223603 (30 September 2022); https://doi.org/10.1117/12.2633124

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