Article Source
AI & Machine Learning for Satellite Communications with SES
Abstract
Speaking at the 2023 edition of the Interdisciplinary Centre for Security, Reliability and Trust’s (SnT) Partnership Day event, Dr. Flor Ortiz-Gomez discusses how artificial intelligence and machine learning are revolutionising satellite communications. In collaboration with SES, the project explores how these methods can enable a more efficient use of resources, improve data processing and analysis, as well as enhance decision making capabilities.
From Orbit to A.I. - Harnessing Machine Learning with Landsat Data
Over the past few years, machine learning techniques have been increasingly used to analyze the vast amount of data collected by the Landsat mission, which has been circling the globe for over 50 years. The data has been used to classify different types of land cover, detect changes to landscapes over time, and map the impact of human activity on the environment. With the field constantly evolving, researchers are developing new deep learning models to improve the accuracy and efficiency of the analysis and extract even more information from the data. Here are just a few examples of how the combination of Landsat data and machine learning is providing a better understanding of our planet’s past, present, and future.
Advanced Software Systems for Next-Generation Satellite Communication Networks
Calian, Advanced Technologies provides advanced software systems for next-generation satellite communications networks. We solve complex technical challenges with advanced technologies and agile strategies, and help leading satellite operators and manufacturers deliver ubiquitous connectivity on Earth. From safety services to in-flight connectivity and military communications, we provide innovative software solutions to enable the world’s next-generation communications.