Name: From Radar Echoes To Real-Time Recognition: Deep Learning on Another Planet an Open Source Workflow - Viktor Somogyi, Netwerk / HUN-REN / ESA
Start: 2025-08-27T16:20:00+0200
End: 2025-08-27T17:00:00+0200

25-27, August 2025
Amsterdam, Netherlands
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Wednesday August 27, 2025 16:20 - 17:00 CEST

TBA

What happens when you combine real radar images of Venus, a bunch of volcanoes, and deep learning? In this talk, I’ll walk you through a fully open-source machine learning pipeline that turns extraterrestrial data into structured scientific insights. Our goal is to automatically recognize geological formations like craters, ridges, or volcanoes on radar imagery — a bit like Google Maps, but for another planet.

The workflow starts with hand-labeled GeoJSON data in QGIS, then moves through preprocessing, training, and testing using PyTorch, scikit-learn, and AWS SageMaker — all running on Linux-based cloud infrastructure. This ESA (European Space Agency) funded scientific project is coordinated by the Hungarian Research Network (HUN-REN), and every part of it is powered by open tools and services.

If you're curious about how Linux, Python, and AWS can work together to map alien surfaces, this session will take you there — without leaving Earth.

Speakers

Viktor Somogyi

Lead Developer | Machine Learning Specialist // External Researcher AI & Data Science Division, Netwerk / HUN-REN / ESA

Viktor Somogyi is a Machine Learning Specialist and Lead Developer at Netwerk Media, with over a decade of experience in AI-driven software projects. He currently works as an external researcher on a European Space Agency–funded planetary science project led by HUN-REN, using deep... Read More →

Wednesday August 27, 2025 16:20 - 17:00 CEST
TBA

Wildcard

Audience Experience Level Beginner

Open Source Summit Europe 2025

Viktor Somogyi

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