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ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink

Woojin Cho, Junghwan Park, Sangcheol Sim, Steve Andreas Immanuel +2 moreIGARSS 2026Aug 7, 2026

Space × AIORBITAL ROBOTICS Perception & State Estimation Learning-based Methods

Aug 7, 2026

Deep Learning-Based Modeling of High-Resolution Lunar Topography Using Orbiter Imagery

Hao Chen, Philipp Gläser, Xuanyu Hu, Konrad Willner +1 moreIGARSS 2024Jul 7, 2024

Space × AIPLANETARY ROBOTICS Perception & State Estimation Learning-based Methods

Jul 7, 2024

Evaluation of Resource-Efficient Crater Detectors on Embedded Systems

Simon Vellas, Bill Psomas, Kalliopi Karadima, Dimitrios Danopoulos +4 moreIGARSS 2024 3 citedMay 27, 2024

Space × AIPLANETARY ROBOTICS Perception & State Estimation Learning-based Methods Design, Mechanisms & Hardware

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May 27, 2024

Fast model inference and training on-board of Satellites

Vít Růžička, Gonzalo Mateo-García, Chris Bridges, Chris Brunskill +3 moreIGARSS 2023 25 citedJul 17, 2023

Space × AIORBITAL ROBOTICS Learning-based Methods Perception & State Estimation Design, Mechanisms & Hardware

Jul 17, 2023

A Risk Assessment of Potential Landing Zones on Mars Using Gis, Machine Learning, and Stereo-Photogrammetry

Michael WalpertIGARSS 2023 1 citedJul 16, 2023

Space × AIPLANETARY ROBOTICS Perception & State Estimation Learning-based Methods

Jul 16, 2023

Machine Learning on Mars: Open Challenges, Similarities and Differences to Earth Remote Sensing

Thorsten Wilhelm, Dominik Kobmann, Christian WöhlerIGARSS 2022 3 citedJul 17, 2022

Space × AIPLANETARY ROBOTICS Learning-based Methods Simulation, Digital Twins & Benchmarks Perception & State Estimation

Jul 17, 2022