Satellite Production

Satellite production research currently focuses on enhancing data acquisition, processing, and analysis capabilities. Key areas include developing satellite-agnostic datasets for training advanced machine learning models (e.g., deep diffusion models, variational autoencoders), improving the accuracy and efficiency of algorithms for tasks like cloud type identification, and enabling on-board processing and model training for real-time applications such as orbit determination and collision avoidance. These advancements are crucial for improving various fields, including weather forecasting, environmental monitoring, traffic management, and space situational awareness.