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Explore a comprehensive conference talk that demonstrates how open-source technologies can be applied to extraterrestrial geological analysis. Learn about a fully open-source machine learning pipeline that processes real radar images of Venus to automatically identify geological formations such as craters, ridges, and volcanoes. Discover the complete workflow from data preparation using hand-labeled GeoJSON data in QGIS through preprocessing, training, and testing phases utilizing PyTorch, scikit-learn, and AWS SageMaker on Linux-based cloud infrastructure. Understand how this European Space Agency (ESA) funded scientific project, coordinated by the Hungarian Research Network (HUN-REN), leverages open tools and services to create a mapping system comparable to Google Maps but designed for planetary surfaces. Gain insights into the practical integration of Linux, Python, and AWS technologies for processing and analyzing radar imagery from another planet, making complex space science accessible through familiar open-source tools and methodologies.
