Nebula Public Library

A proof of concept of an attitude control system based on Artificial Intelligence, as an alternative of current state-of-the-art systems based on model approaches, has been developed and tested in a simulator and in the EM of the OPS-SAT. The system relies on Computer Vision and Deep Reinforcement Learning algorithms to command the OPS-SAT reaction wheels in order to actively modify its attitude, so that the on-board optical camera keeps framed and focused on a target without the aid of any other instrument, such as the star tracker, the ADCS or the GPS receiver.

We have developed a high-performance data compression software with embedded data analysis features for radio-frequency (RF), multi-band images and video. It offers excellent compression ratios and quality levels with very small computing requirements which even allow for real-time operation on modest processors. Tests on OPS-SAT data reveal image ratios over 1:10 with excellent visual quality, and RF ratios over 1:3 with nearly identical spectrograms thanks to a smart lossy approach.

Ocean Scan is the first inclusive labeled global marine plastic database, designed to benefit remote sensing researchers. Ocean Scan brings together global in-situ observations and their matching Earth Observation data in one place, and offers additional features specifically designed to benefit remote sensing researchers.

This activity is intended to investigate the Grazing Angle (GA) Carrier Phase Altimetry (CaPA) using signals transmitted by the Global Navigation Satellite Systems (GNSS). The CaPA technique requires that the electromagnetic signal reflects coherently rather than in a diffuse regime. The hypothesis is that GA geometries enhance the likelihood of coherence scattering. It was also hypothesized that the combination of signals at slightly different frequency bands could expand the coherence conditions (widelane techniques, WL).