A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images
In the road extraction task, for the problem of low utilization of spectral features in high-resolution remote sensing images, we propose a Multi-spectral image-guided fusion of Spatial and Channel Features for road extraction algorithm (SC-FMNet). The method is designed with a two-branch input netw...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/4/1684 |
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| author | Lin Gao Yongqi Zhang Aolin Jiao Lincong Zhang |
| author_facet | Lin Gao Yongqi Zhang Aolin Jiao Lincong Zhang |
| author_sort | Lin Gao |
| collection | DOAJ |
| description | In the road extraction task, for the problem of low utilization of spectral features in high-resolution remote sensing images, we propose a Multi-spectral image-guided fusion of Spatial and Channel Features for road extraction algorithm (SC-FMNet). The method is designed with a two-branch input network structure including Multi-spectral image and fused image branches. Based on the original MSNet model, the Spatial and Channel Reconstruction Convolution (SCConv) module is introduced in the coding part in each of the two branches. In addition, a Spatially Adaptive Feature Modulation Mechanism (SAFMM) module is introduced into the decoding structure. The experimental results in the GF2-FC and CHN6-CUG road datasets show that the method can better extract the road information and improve the accuracy of road segmentation, which verify the effectiveness of SC-FMNet. |
| format | Article |
| id | doaj-art-24fe888ed4f343e39ca8e5ae35bcd80b |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-24fe888ed4f343e39ca8e5ae35bcd80b2025-08-20T03:11:07ZengMDPI AGApplied Sciences2076-34172025-02-01154168410.3390/app15041684A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral ImagesLin Gao0Yongqi Zhang1Aolin Jiao2Lincong Zhang3School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, ChinaIn the road extraction task, for the problem of low utilization of spectral features in high-resolution remote sensing images, we propose a Multi-spectral image-guided fusion of Spatial and Channel Features for road extraction algorithm (SC-FMNet). The method is designed with a two-branch input network structure including Multi-spectral image and fused image branches. Based on the original MSNet model, the Spatial and Channel Reconstruction Convolution (SCConv) module is introduced in the coding part in each of the two branches. In addition, a Spatially Adaptive Feature Modulation Mechanism (SAFMM) module is introduced into the decoding structure. The experimental results in the GF2-FC and CHN6-CUG road datasets show that the method can better extract the road information and improve the accuracy of road segmentation, which verify the effectiveness of SC-FMNet.https://www.mdpi.com/2076-3417/15/4/1684road extractionremote sensing imagespectral featurespatially adaptive feature |
| spellingShingle | Lin Gao Yongqi Zhang Aolin Jiao Lincong Zhang A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images Applied Sciences road extraction remote sensing image spectral feature spatially adaptive feature |
| title | A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images |
| title_full | A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images |
| title_fullStr | A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images |
| title_full_unstemmed | A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images |
| title_short | A Road Extraction Algorithm for the Guided Fusion of Spatial and Channel Features from Multi-Spectral Images |
| title_sort | road extraction algorithm for the guided fusion of spatial and channel features from multi spectral images |
| topic | road extraction remote sensing image spectral feature spatially adaptive feature |
| url | https://www.mdpi.com/2076-3417/15/4/1684 |
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