2025-07-24 NASA
This graphic shows how JPL’s Dynamic Targeting uses a lookahead sensor to see what’s on a satellite’s upcoming path. Onboard algorithms process the sensor’s data, identifying clouds to avoid and targets of interest for closer observation as the satellite passes overhead. NASA/JPL-Caltech
＜関連情報＞
- https://www.nasa.gov/science-research/earth-science/how-nasa-is-testing-ai-to-make-earth-observing-satellites-smarter/
- https://ai.jpl.nasa.gov/public/documents/papers/dt-spaceops-2025.pdf
CogniSAT-6における動的標的追尾の飛行 – アップデート Flight of Dynamic Targeting on CogniSAT-6 – Update
Steve Chien, Itai Zilberstein, Alberto Candela, David Rijlaarsdamb, Amaury Perrocheau, Aubrey Dunne, Tom Hendrix, Oriol Cortés Grau, Alexandre Gol i Mestre, Manel Pedra Bové, Oriol Aragon, Juan Puig Miquel
18 th International Conference on Space Operations, Montreal, Canada, 26 – 30 May 2025
Abstract
Dynamic targeting (DT) is a spacecraft autonomy concept in which lookahead sensor data is acquired and rapidly analyzed and used to drive subsequent observation. We describe the Low Earth Orbit application of this approach in which lookahead imagery is analyzed to detect clouds, thermal anomalies, or land use cases to drive higher quality near nadir imaging. Use cases for such a capability include: cloud avoidance, storm hunting, search for planetary boundary layer events, plume study, and beyond. The DT concept requires a lookahead sensor or agility to use a primary sensor in such a mode, edge computing to analyze images rapidly onboard, and a primary followup sensor. Additionally, an inter-satellite or low latency communications link can be leveraged for cross platform tasking. We describe implementation in progress to fly DT in late Spring 2025 on the CogniSAT-6 (Ubotica/Open Cosmos) spacecraft that launched in March 2024 on the SpaceX Transporter-10 launch.
