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A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing

A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a8f6809b156461fa67a482adb190f29

A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing

About this item

Full title

A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.466

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

With the rapid development of microwave remote sensing and SAR satellite systems, the use of InSAR techniques has been greatly encouraged due to the abundance of SAR data with unprecedented temporal and spatial coverage. Small Baseline Subset (SBAS) is a promising time-series InSAR method for applications involving deformation monitoring of the Ear...

Alternative Titles

Full title

A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9a8f6809b156461fa67a482adb190f29

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a8f6809b156461fa67a482adb190f29

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16030466

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