Research/ SPACE AI & AUTONOMY

Demonstrating Onboard Inference for Earth Science Applications with Spectral Analysis Algorithms and Deep Learning

Itai Zilberstein, Alberto Candela, Steve Chien, David Rijlaarsdam, Tom Hendrix, Leonie Buckley, and Aubrey Dunne

i-SAIRAS 2024/Aug 20, 2025/ 3 citations

Space × AI

Technique

Learning-based MethodsarXiv: cs.LG · Perception & State EstimationOpenAlex topic: Satellite Image Processing and Photogrammetry · Design, Mechanisms & HardwareOpenAlex keyword: edge computing

Indexed as

arXivcs.AI · cs.LGOpenAlexRemote-Sensing Image Classification · Satellite Image Processing and Photogrammetry · Advanced Neural Network Applications

HTML PDF arXiv:2508.15053 Publisher Semantic Scholar OpenAlex

In partnership with Ubotica Technologies, the Jet Propulsion Laboratory is demonstrating state-of-the-art data analysis onboard CogniSAT-6/HAMMER (CS-6). CS-6 is a satellite with a visible and near infrared range hyperspectral instrument and neural network acceleration hardware. Performing data analysis at the edge (e.g. onboard) can enable new Earth science measurements and responses. We will demonstrate data analysis and inference onboard CS-6 for numerous applications using deep learning and spectral analysis algorithms.

Comments: International Symposium on Artificial Intelligence, Robotics and Automation in Space, November 2024

Demonstrating Onboard Inference for Earth Science Applications with Spectral Analysis Algorithms and Deep Learning

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