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Expandable On-Board Real-Time Edge Computing Architecture for Luojia3 Intelligent Remote Sensing Sat...

Expandable On-Board Real-Time Edge Computing Architecture for Luojia3 Intelligent Remote Sensing Sat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a6d3ab0c6c284c9eaf0f0c2bd2f37da8

Expandable On-Board Real-Time Edge Computing Architecture for Luojia3 Intelligent Remote Sensing Satellite

About this item

Full title

Expandable On-Board Real-Time Edge Computing Architecture for Luojia3 Intelligent Remote Sensing Satellite

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3596

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Since the data generation rate of high-resolution satellites is increasing rapidly, to relieve the stress of data downloading and processing systems while enhancing the time efficiency of information acquisition, it is important to deploy on-board edge computing on satellites. However, the volume, weight, and computability of on-board systems are s...

Alternative Titles

Full title

Expandable On-Board Real-Time Edge Computing Architecture for Luojia3 Intelligent Remote Sensing Satellite

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a6d3ab0c6c284c9eaf0f0c2bd2f37da8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a6d3ab0c6c284c9eaf0f0c2bd2f37da8

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14153596

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