A critical review on the state-of-the-art and future prospects of Machine Learning for Earth Observation Operations
P Miralles, K Thangavel, AF Scannapieco… - Advances in Space …, 2023 - Elsevier
Abstract The continuing Machine Learning (ML) revolution indubitably has had a significant
positive impact on the analysis of downlinked satellite data. Other aspects of the Earth …
positive impact on the analysis of downlinked satellite data. Other aspects of the Earth …
Cloudsatnet-1: Fpga-based hardware-accelerated quantized cnn for satellite on-board cloud coverage classification
CubeSats, the nanosatellites and microsatellites with a wet mass up to 60 kg, accompanied
by the cost decrease of accessing the space, amplified the rapid development of the Earth …
by the cost decrease of accessing the space, amplified the rapid development of the Earth …
Self-supervised Distillation for Computer Vision Onboard Planetary Robots
In situ exploration of planets beyond Mars will largely depend on autonomous robotic agents
for the foreseeable future. These autonomous planetary explorers need to perceive and …
for the foreseeable future. These autonomous planetary explorers need to perceive and …
Low-Precision Floating-Point for Efficient On-Board Deep Neural Network Processing
C Gernigon, SI Filip, O Sentieys… - 2023 European Data …, 2023 - ieeexplore.ieee.org
One of the major bottlenecks in high-resolution Earth Observation (EO) space systems is the
downlink between the satellite and the ground. Due to hardware limitations, on-board power …
downlink between the satellite and the ground. Due to hardware limitations, on-board power …
[PDF][PDF] Benchmarking Deep Neural Networks on space compatible hardware for EO data extraction and reduction
F de Vieilleville, A Lagrange, M Verm, N Dublé… - Benchmarking, 2022 - academia.edu
The current trend for institutional satellite missions is to push for an increase of the spatial
and spectral resolution of image products, possibly with a higher revisit time, thus increasing …
and spectral resolution of image products, possibly with a higher revisit time, thus increasing …
[PDF][PDF] Machine Learning in Earth Observation Operations: A review Pablo Miralles, Antonio Fulvio Scannapieco, Nitya Jagadam, Prerna Baranwal, Bhavin Faldu …
Z Di Fraia, D Wischert, D Stepanova - 2021 - researchgate.net
Abstract Analysis of downlinked satellite imagery has undeniably benefited greatly from the
ongoing Machine Learning (ML) revolution. Other aspects of the Earth Observation industry …
ongoing Machine Learning (ML) revolution. Other aspects of the Earth Observation industry …
[PDF][PDF] Neural Network Compression for On Board Space Payloads
P Barmpakos - 2021 - ikee.lib.auth.gr
Abstract Space missions and flight vehicles up to date are constantly enhancing their system
and instrument capabilities, feeding the domain with new and more complex data. However …
and instrument capabilities, feeding the domain with new and more complex data. However …