High-resolution remote sensing image road extraction via dual-branch fusion of convolutional and gra...
High-resolution remote sensing image road extraction via dual-branch fusion of convolutional and graph convolutional network
About this item
Full title
Author / Creator
Li, Xiaohui , Feng, Ruyi , Quan, Kaiming , Xu, Yupeng , Zhou, Mingzhu , Dong, Hao , Xing, Jun and Yu, Jian
Publisher
Society of Photo-Optical Instrumentation Engineers
Journal title
Language
English
Formats
Publication information
Publisher
Society of Photo-Optical Instrumentation Engineers
More information
Scope and Contents
Contents
Deep learning–based methods, particularly deep convolutional neural networks (DCNNs), have demonstrated exceptional performance in extracting roads from high-resolution remote sensing images. However, current DCNNs often struggle to accurately extract small roads or roads that are substantially occluded because of the loss of position and global co...
Alternative Titles
Full title
High-resolution remote sensing image road extraction via dual-branch fusion of convolutional and graph convolutional network
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_spie_journals_10_1117_1_JRS_19_016514
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_spie_journals_10_1117_1_JRS_19_016514
Other Identifiers
ISSN
1931-3195
E-ISSN
1931-3195
DOI
10.1117/1.JRS.19.016514
