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A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks

A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d8ef281d38b43089080fc78b67c0d03

A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks

About this item

Full title

A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (7), p.1838

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The construction of transport facilities plays a pivotal role in enhancing people’s living standards, stimulating economic growth, maintaining social stability and bolstering national security. During the construction of transport facilities, it is essential to identify the distinctive features of a construction area to anticipate the construction...

Alternative Titles

Full title

A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8d8ef281d38b43089080fc78b67c0d03

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d8ef281d38b43089080fc78b67c0d03

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15071838

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