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cs.AI2026
Operational machine learning for remote spectroscopic detection of CH point sources
VÃt RůžiÄka, Gonzalo Mateo-GarcÃa, Itziar Irakulis-Loitxate +7
Mitigating anthropogenic methane sources is one of the most cost-effective levers to slow down global warming. While satellite-based imaging spectrometers, such as EMIT, PRISMA, an…
cs.AI2025
HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing
VÃt RůžiÄka, Andrew Markham
On-board processing of hyperspectral data with machine learning models would enable unprecedented amount of autonomy for a wide range of tasks, for example methane detection or min…