GlobVision Inc. St. Laurent
Advanced TLE Trend Analytics Using Machine Learning and Time Series Analysis — The  Space Surveillance Network (SSN) measures the movement of space objects over  time, producing time-series data sets called Two-Line Elements ( TLEs ). The proposed project is to design, develop and  integrate advanced machine learning and data analytics methodologies to  automatically examine TLE data and detect novel or anomalous trends. These  advanced methodologies will also be capable of identifying the root cause of  any anomalies as due to either erroneous satellite tracking data or  out-of-character space object behaviour. This technology will enhance the  know-how and capabilities of satellite operators and designers, as well as lead  to new concepts advancing space situational awareness and satellite monitoring.