Neural networks (NNs) have proven their ability to deal with many computer vision tasks,
including image-based remote sensing such as the identification and segmentation of …

The number of satellites, especially those operating in Low-Earth Orbit (LEO), has been
exploding in recent years. Additionally, the burgeoning development of Artificial Intelligence …

One of the key enabling solutions to in-orbit extract information from Earth Observation
images is given by deep learning techniques. However, the accuracy of these algorithms is …

With the advancement of space technology and satellite communications, low-Earth-orbit
(LEO) satellite networks have experienced rapid development in the past decade. In the …

Integrated communication–sensing–computing (ICSC) satellites, which integrate edge
computing servers on Earth observation satellites to process collected data directly in orbit …

Reliability mapping of 5G low orbit constellation network slice is an important means to
ensure link network communication. The problem of state space explosion is a typical …

As satellite missions heighten in complexity, there is a need for spacecraft equipped with
greater intelligence and autonomy. This calls for onboard, real-time decision-making …

One of the key enabling solutions to in-orbit extract information from Earth Observation
images is given by deep learning techniques. However, the accuracy of these algorithms is …

The low Earth orbit (LEO) satellite megaconstellation can provide ubiquitous coverage and
high-performance connectivity, supporting multi-slice applications with various key …

Earth Observation (EO) satellites currently acquire images to be then stored in their on-
board memory, until they fly over a ground station, when they shall transmit a high amount of …