👋 Welcome to the OpenSAR Insight project!

OpenSAR Insight is an early-phase project developing ML-ready datasets and algorithms for direct insight generation from raw SAR data. This is a first step toward efficient onboard implementation of end-to-end SAR inference pipelines for low-latency applications.

This project has been funded and supported by ESA’s Φ-lab.

📊 Datasets

We compiled novel datasets for three use cases: vessel detection, water body detection, and radio frequency interference (RFI) detection. These datasets include co-registered L0, L1 SLC, and L1 GRD patches with labels partially derived from SARFish/xView3, Kuro Siwo, and Aresys, respectively.

🤖 Models

For the vessel detection and RFI detection use cases, we developed two families of ML models: a large, unrestricted model for ground-based use, and a small, optimised model designed for onboard deployment.

💻 Codebase

The full codebase can be found here: https://github.com/ESA-PhiLab/OpenSARInsight

Datasets and code are released open source to benefit the research community.

👥 Consortium Team

The consortium is composed of Indra Space, the University of Alcala, INTA (National Institute of Aerospace Technology), and ESA’s Φ-lab.

📚 Resources

More information can be found on our website, which will be published soon.