The Use of Different Architectures and Streak Observations Algorithms to Detect Space Debris.

Vallduriola, G.V.; Helfers, T.; Biersack, F.; Scharf, A.; Suarez Trujillo, D.A.; Daens, D.; Linssen, S.; Utzmann, J.; Pittet, Jean-Noël; Vananti, Alessandro (2018). The Use of Different Architectures and Streak Observations Algorithms to Detect Space Debris. (In Press). In: 6th International Workshop on On-Board Payload Data Compression. Matera, Italy. 20.-21.09.2018.

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Modern society depends heavily on satellite infrastructure. However, Space becomes more and more congested by space debris from over 50 years of space activities. This growing threat in orbit must be monitored. The aim of the ESA GSTP activity "Optical In-Situ Monitor" is to design and test a breadboard of a space-based space debris camera and to develop and test its end-to-end processing chain. The on-board processing functions will focus on the payload image processing in order to reduce the data volume (image segmentation for streak detection). The suitable technologies for the processing units will be described: the HPDP, an ARM-Cortex R5F processor and Microsemi's RTG4 FPGA. For image processing, several algorithms were tested extensively: the CCSDS 122.0-B-1, the Boundary Tensor and the Differences Method. This paper shows the results of the project and gives an overview of which combination of processor-algorithm yields the most promising results for our mission.

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