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AGF-Net: adaptive global feature fusion network for road extraction from remote-sensing images

AGF-Net: adaptive global feature fusion network for road extraction from remote-sensing images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d49bd83838fc481695e2b360e6fe66ac

AGF-Net: adaptive global feature fusion network for road extraction from remote-sensing images

About this item

Full title

AGF-Net: adaptive global feature fusion network for road extraction from remote-sensing images

Publisher

Cham: Springer International Publishing

Journal title

Complex & Intelligent Systems, 2024-06, Vol.10 (3), p.4311-4328

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Road extraction from remote-sensing images is of great significance for vehicle navigation and emergency insurance. However, the road information extracted in the remote-sensing image is discontinuous because the road in the image is often obscured by the shadows of trees or buildings. Moreover, due to the scale difference of roads in remote-sensin...

Alternative Titles

Full title

AGF-Net: adaptive global feature fusion network for road extraction from remote-sensing images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d49bd83838fc481695e2b360e6fe66ac

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d49bd83838fc481695e2b360e6fe66ac

Other Identifiers

ISSN

2199-4536

E-ISSN

2198-6053

DOI

10.1007/s40747-024-01364-9

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