[HTML][HTML] A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects
Estimating the pose of an uncooperative spacecraft is an important computer vision problem
for enabling the deployment of automatic vision-based systems in orbit, with applications …
for enabling the deployment of automatic vision-based systems in orbit, with applications …
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
Earth observation (EO) is increasingly used for mapping and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
Artificial intelligence to advance Earth observation: a perspective
Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …
Evaluating algorithms for anomaly detection in satellite telemetry data
Detecting anomalies in telemetry data captured on-board a spacecraft is critical to ensure its
safe operation. Although there exist various techniques for automatically detecting point …
safe operation. Although there exist various techniques for automatically detecting point …
In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery
G Mateo-Garcia, J Veitch-Michaelis, C Purcell… - Scientific Reports, 2023 - nature.com
Cognitive cloud computing in space (3CS) describes a new frontier of space innovation
powered by Artificial Intelligence, enabling an explosion of new applications in observing …
powered by Artificial Intelligence, enabling an explosion of new applications in observing …
[HTML][HTML] Review on Hardware Devices and Software Techniques Enabling Neural Network Inference Onboard Satellites
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 …
including image-based remote sensing such as the identification and segmentation of …
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection
Cloud detection is a pivotal satellite image pre-processing step that can be performed on
board a satellite to tag useful images. It can reduce the amount of data to downlink by …
board a satellite to tag useful images. It can reduce the amount of data to downlink by …
European space agency benchmark for anomaly detection in satellite telemetry
K Kotowski, C Haskamp, J Andrzejewski… - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning has vast potential to improve anomaly detection in satellite telemetry
which is a crucial task for spacecraft operations. This potential is currently hampered by a …
which is a crucial task for spacecraft operations. This potential is currently hampered by a …
Graph neural networks extract high-resolution cultivated land maps from Sentinel-2 image series
Maintaining farm sustainability through optimizing the agricultural management practices
helps build more planet-friendly environment. The emerging satellite missions can acquire …
helps build more planet-friendly environment. The emerging satellite missions can acquire …
Unbiasing the estimation of chlorophyll from hyperspectral images: a benchmark dataset, validation procedure and baseline results
Recent advancements in hyperspectral remote sensing bring exciting opportunities for
various domains. Precision agriculture is one of the most widely-researched examples here …
various domains. Precision agriculture is one of the most widely-researched examples here …