KP Labs advances the next generation of Earth observation (EO) satellites with artificial intelligence and autonomous software. Deep learning models can process Earth’s frequent cloudy coverage onboard these satellites. The team has been developing a novel in-orbit Cloud Detection Application for the European Space Agency’s Φ-sat-2 mission powered by deep learning.
Boosting In-Orbit Cloud Detection with AI
KP Labs TOP 10 in 2022
At KP Labs, we constantly strive to innovate and push the boundaries of what is possible in the field of space exploration thanks to AI and on-board data processing. We are proud to announce our top 10 achievements of 2022, which showcase the hard work and dedication of our team. We strongly encourage readers to […]
Innovating Space Applications with Deep Learning Benchmarking
Project Red Kyte brought together an interdisciplinary team of scientists and engineers at KP Labs and GSTS to optimize the deployment, benchmarking, and performance of three deep learning algorithms specialized in space applications. By using real-use cases, the experimental results were published in the open-access journal Remote Sensing, showing how state-of-the-art machine learning techniques can be benchmarked, compared, and tested end-to-end before deployment.
KP Labs Delivers Critical Computing Stack for GLOWS Photometer
KP Labs is developing the on-board Main Application Software for the GLOWS instrument, which will handle the telecommand and telemetry as well as the autonomous collection and archiving of scientific data. This robust autonomous software will also manage and supervise GLOWS’ hardware, support several operational modes, and interface with the IMAP operating system.