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 current state of the project and gives an overview of what activities still need to be tackled before finalization. The final step of the project will be to decide which combination of processor-algorithm yields the best results.
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机译：现代社会严重依赖卫星基础设施。但是，超过50年的太空活动使太空变得越来越被太空碎片充斥。必须监视不断增长的在轨威胁。 ESA GSTP活动“光学原位监控器”的目的是设计和测试天基空间碎片相机的面包板，并开发和测试其端到端处理链。机载处理功能将专注于有效载荷图像处理，以减少数据量（用于条纹检测的图像分割）。将描述适用于处理单元的技术：HPDP，ARM-Cortex R5F处理器和Microsemi的RTG4 FPGA。对于图像处理，已对多种算法进行了广泛测试：CCSDS 122.0-B-1，边界张量和差分法。本文显示了项目的当前状态，并概述了最终确定之前仍需要解决的活动。该项目的最后一步将是确定哪种处理器算法组合可产生最佳结果。
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