Recent scientific and technological advancements driven by the Internet of Things (IoT),
Machine Learning (ML) and Artificial Intelligence (AI), distributed computing and data …

Large constellations of Low Earth Orbit satellites promise to provide near real-time high-
resolution Earth imagery. Yet, getting this large amount of data back to Earth is challenging …

Satellite systems have attracted great attention from academic and industrial communities in
recent years. There are many satellites that have been launched for weather forecast …

Abstract The study of Integrated Satellite Imaging and Data Transmission Scheduling
Problem (ISIDTSP) has assumed increasing importance due to the growing number of …

We address the multi-satellite scheduling problem with limited observation capacities that
arises from the need to observe a set of targets on the Earth's surface using imaging …

This Paper proposes a two-step binary linear programming formulation for task scheduling
of a constellation of low-Earth-orbit satellites and demonstrates its applicability and …

This paper investigated an Earth observation scheduling problem for agile satellites under a
time window constraint and resource constraints of limited on-board memory capacity and …

Satellite range scheduling always plays a crucial role in tracking, telemetry, and control of
the spacecraft. With the significant increase in the number and type of satellites in orbit, the …

With the growing interest in leveraging space technologies to provide both knowledge and
services, the need for efficient space mission management also increases. Among all the …

Satellite-based platforms are currently the only feasible way of achieving intercontinental
range for quantum communication, enabling thus the future global quantum internet. Recent …