Progress and challenges in intelligent remote sensing satellite systems
B Zhang, Y Wu, B Zhao, J Chanussot… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Due to advances in remote sensing satellite imaging and image processing technologies
and their wide applications, intelligent remote sensing satellites are facing an opportunity for …
and their wide applications, intelligent remote sensing satellites are facing an opportunity for …
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects
The presence of clouds prevents optical satellite imaging systems from obtaining useful
Earth observation information and negatively affects the processing and application of …
Earth observation information and negatively affects the processing and application of …
The Φ-Sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation
Artificial intelligence (AI) is paving the way for a new era of algorithms focusing directly on
the information contained in the data, autonomously extracting relevant features for a given …
the information contained in the data, autonomously extracting relevant features for a given …
Towards global flood mapping onboard low cost satellites with machine learning
Spaceborne Earth observation is a key technology for flood response, offering valuable
information to decision makers on the ground. Very large constellations of small, nano …
information to decision makers on the ground. Very large constellations of small, nano …
Ground-assisted federated learning in LEO satellite constellations
In Low Earth Orbit (LEO) mega constellations, there are relevant use cases, such as
inference based on satellite imaging, in which a large number of satellites collaboratively …
inference based on satellite imaging, in which a large number of satellites collaboratively …
Optical navigation for Lunar landing based on Convolutional Neural Network crater detector
Traditional vision-based navigation algorithms are highly affected from non-nominal
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …
{StarryNet}: empowering researchers to evaluate futuristic integrated space and terrestrial networks
Futuristic integrated space and terrestrial networks (ISTN) not only hold new opportunities
for pervasive, low-latency Internet services, but also face new challenges caused by satellite …
for pervasive, low-latency Internet services, but also face new challenges caused by satellite …
On-board federated learning for dense LEO constellations
Mega-constellations of small-size Low Earth Orbit (LEO) satellites are currently planned and
deployed by various private and public entities. While global connectivity is the main …
deployed by various private and public entities. While global connectivity is the main …
An fpga-based hardware accelerator for cnns inference on board satellites: benchmarking with myriad 2-based solution for the cloudscout case study
In recent years, research in the space community has shown a growing interest in Artificial
Intelligence (AI), mostly driven by systems miniaturization and commercial competition. In …
Intelligence (AI), mostly driven by systems miniaturization and commercial competition. In …
On-board volcanic eruption detection through cnns and satellite multispectral imagery
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of
studies including their applicability in a variety of different scenarios. Among all, one of the …
studies including their applicability in a variety of different scenarios. Among all, one of the …