Benchmarking space mission applications on the snapdragon processor onboard the iss

J Swope, F Mirza, E Dunkel, A Candela… - Journal of Aerospace …, 2023 - arc.aiaa.org
Future space missions will process and analyze imagery on board as well as plan and act
more autonomously, placing greater demands on flight computing. Traditional flight …

Benchmarking and testing of qualcomm snapdragon system-on-chip for jpl space applications and missions

Z Towfic, D Ogbe, J Sauvageau… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
As some space missions become more challenging due to new environments, greater
distances, or more limited size, weight, and power (SWaP) constraints, spacecraft avionics …

Tackling the Satellite Downlink Bottleneck with Federated Onboard Learning of Image Compression

P Gómez, G Meoni - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Satellite data transmission is a crucial bottleneck for Earth observation applications. To
overcome this problem we propose a novel solution that trains a neural network on board …

Sea-Land-Cloud Segmentation in Satellite Hyperspectral Imagery by Deep Learning

JA Justo, JL Garrett, MI Georgescu… - arXiv preprint arXiv …, 2023 - arxiv.org
Satellites are increasingly adopting on-board Artificial Intelligence (AI) techniques to
enhance platforms' autonomy through edge inference. In this context, the utilization of deep …

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning

S Mijares i Verdú, J Ballé, V Laparra… - Remote Sensing, 2023 - mdpi.com
Two key hurdles to the adoption of Machine Learning (ML) techniques in hyperspectral data
compression are computational complexity and scalability for large numbers of bands …

Federated onboard-ground station computing with weakly supervised cascading pyramid attention network for satellite image analysis

T Kim, M Jeon, C Lee, J Kim, G Ko, JY Kim… - IEEE …, 2022 - ieeexplore.ieee.org
With advances in NanoSat (CubeSat) and high-resolution sensors, the amount of raw data
to be analyzed by human supervisors has been explosively increasing for satellite image …

Hardware implementation of the ccsds 123.0-b-2 near-lossless compression standard following an hls design methodology

Y Barrios, A Sánchez, R Guerra, R Sarmiento - Remote Sensing, 2021 - mdpi.com
The increment in the use of high-resolution imaging sensors on-board satellites motivates
the use of on-board image compression, mainly due to restrictions in terms of both hardware …

Semantically-Disentangled Progressive Image Compression for Deep Space Communications: Exploring the Ultra-low Rate Regime

W Zhang, Y Liu, L Chen, J Shi, X Hong… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
While sensing imagery in space missions has broad applications, the growing image
resolution and data volume have caused a major challenge due to limited deep space …

A simple lossless algorithm for on-board satellite hyperspectral data compression

V Joshi, JS Rani - IEEE Geoscience and Remote Sensing …, 2023 - ieeexplore.ieee.org
As the resolution of the on-board imaging spectrometer keeps improving, the data
acquisition rate increases and a resource-limited satellite environment necessitates for …

An FPGA Accelerator for Real Time Hyperspectral Images Compression based on JPEG2000 Standard

R Ghodhbani, T Saidani, L Horrigue… - … , Technology & Applied …, 2024 - etasr.com
Lossless hyperspectral images have the advantage of reducing the data size, hence saving
on storage and transmission costs. This study presents a dynamic pipeline hardware design …