As Earth Observation (EO) missions become essential tools for industries from agriculture to national security, ensuring accurate data from satellites is critical. Yet, as conditions in space change, traditional AI models often struggle to maintain accuracy, especially when the data they encounter differs from the training data used to build them. This challenge, known as “domain shift,” can cause model performance to drop, potentially jeopardising the mission’s success.

Ubotica’s cutting-edge AI solutions eliminate this risk, enabling satellites to deliver consistently accurate insights—even under shifting conditions.

The Domain Shift Challenge

Imagine a satellite monitoring crop health across seasons. Variations in lighting, sensor conditions, and atmospheric factors mean that data captured during one season can look vastly different from another, leading to discrepancies that standard AI models can’t always manage. Ubotica’s technology bridges this gap, allowing satellites to recognize these shifts and self-adjust in real time to preserve data quality and reliability.

Ubotica’s Solution: Autonomous AI with Domain Shift Detection

Ubotica’s advanced AI technology empowers satellites with the ability to detect and adapt to domain shifts on board. Jensen-Shannon (JS) divergence—a well-known metric applied to measure data domain shifts for satellites, comparing the difference between the AI’s training data and the real-world data it encounters in space. Ubotica’s solution enables satellites to make critical adjustments autonomously.

  • Real-Time Adaptability: With Ubotica’s technology, satellites can identify when data shifts occur and respond automatically, ensuring that only the most accurate and actionable information is captured and downlinked.
  • Increased Efficiency: By eliminating inaccurate or poor-quality data, Ubotica’s AI drastically reduces the need for reprocessing and unnecessary data transmission, reducing costs and saving bandwidth.

Real-World Benefits: Quality Data When It Counts

Ubotica’s domain shift detection technology has the power to improve satellite missions across a variety of use cases, from climate monitoring to defence. Here’s what Ubotica brings to each mission:

  • Improved Image Quality: Ubotica’s technology can detect when images are affected by blur, brightness changes, or other distortions, and alert satellites to adjust, keeping data consistent and clear.
  • Minimised Downtime: Autonomous detection of domain shift means satellites can operate with minimal human intervention, reducing downtime and ensuring continuous mission support.
  • Maximised Return on Investment: With higher-quality data and fewer retransmissions, satellite operators can maximise their ROI, transforming raw data into actionable insights with less processing.

Designed for the Future of Autonomous Space Missions

Ubotica’s commitment to innovation ensures that its AI technology is ready for the evolving needs of space missions. By embedding these autonomous capabilities, Ubotica enables satellites to go beyond traditional limitations, providing customers with reliable, mission-critical data when they need it most.

Power Your Next Mission with Ubotica’s Adaptive AI

In an era where precision and adaptability define mission success, Ubotica’s domain shift detection technology is setting a new standard for EO satellites. Contact Ubotica today to learn how our advanced AI solutions can optimise your mission outcomes and unlock the full potential of your satellite data.

If you’d like to learn more about measuring AI model performance and domain shift in unlabelled image data read the publication.