Multi-feature fusion and multi-attention deep network for enhancing road extraction in remote sensin...
Multi-feature fusion and multi-attention deep network for enhancing road extraction in remote sensing images
About this item
Full title
Author / Creator
Xu, Haitao , Zhou, Lin , Huang, Bo and Chen, Shiwan
Publisher
Cagiari: Taylor & Francis Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Cagiari: Taylor & Francis Ltd
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More information
Scope and Contents
Contents
Road detection in remote sensing (RS) images plays a critical role in applications ranging from urban planning to autonomous navigation systems. However, accurate road extraction remains a challenging task due to the presence of textual-similar objects that can be visually confused with roads, and shadows that can obscure road features. For this re...
Alternative Titles
Full title
Multi-feature fusion and multi-attention deep network for enhancing road extraction in remote sensing images
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9ddb479fd357414a836ae6eed7d29d9c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9ddb479fd357414a836ae6eed7d29d9c
Other Identifiers
ISSN
2279-7254
E-ISSN
2279-7254
DOI
10.1080/22797254.2024.2414008
