A survey of next-generation computing technologies in space-air-ground integrated networks

Z Shen, J **, C Tan, A Tagami, S Wang, Q Li… - ACM Computing …, 2023 - dl.acm.org
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …

[HTML][HTML] Review on Hardware Devices and Software Techniques Enabling Neural Network Inference Onboard Satellites

L Diana, P Dini - Remote Sensing, 2024 - mdpi.com
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 …

Satellite computing: Vision and challenges

S Wang, Q Li - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The space industry experiences a rise in low-Earth-orbit satellite mega-constellations to
achieve universal connectivity. At the same time, cloud firms (such as Google, Microsoft, and …

MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications

H Park, N Kim, GH Lee, JK Choi - Future Generation Computer Systems, 2023 - Elsevier
With the recent advances in the Internet of Things (IoT) technologies, various human-
centered applications have proliferated and improved the quality of users' life. In the …

Tiansuan constellation: An open research platform

S Wang, Q Li, M Xu, X Ma, A Zhou… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Satellite network is the first step towards interstellar voyages. It can provide global Internet
connectivity everywhere on the earth, where most areas cannot access the Internet by the …

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

V Růžička, A Vaughan, D De Martini, J Fulton… - Scientific reports, 2022 - nature.com
Applications such as disaster management enormously benefit from rapid availability of
satellite observations. Traditionally, data analysis is performed on the ground after being …

Cloudsatnet-1: Fpga-based hardware-accelerated quantized cnn for satellite on-board cloud coverage classification

R Pitonak, J Mucha, L Dobis, M Javorka, M Marusin - Remote Sensing, 2022 - mdpi.com
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 …

Artificial intelligence based on-board image compression for the Φ-Sat-2 mission

G Guerrisi, F Del Frate… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The growing amount of data collected by Earth Observation (EO) satellites requires new
processing procedures able to manage huge quantity of information. Artificial intelligence …

Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions

A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …

Automatic deployment of convolutional neural networks on fpga for spaceborne remote sensing application

T Yan, N Zhang, J Li, W Liu, H Chen - Remote Sensing, 2022 - mdpi.com
In recent years, convolutional neural network (CNN)-based algorithms have been widely
used in remote sensing image processing and show tremendous performance in a variety of …