Benchmarking Deep Learning for On-Board Space Applications

Benchmarking Deep Learning for On-Board Space Applications

Benchmarking deep learning algorithms before deploying them in hardware-constrained execution environments, such as imaging satellites, is pivotal in real-life applications. Although a thorough and consistent benchmarking procedure can allow us to estimate the expected operational abilities of the u...

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Bibliographic Details
Main Authors: Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
on-board processing
deep learning
benchmarking
segmentation
classification
detection
Online Access:https://www.mdpi.com/2072-4292/13/19/3981

Internet

https://www.mdpi.com/2072-4292/13/19/3981

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