Research on road extraction network of high-resolution remote sensing images improved with attention mechanism

Ziyan Wang; Da Ran

doi:10.1117/12.3039133

13 September 2024 Research on road extraction network of high-resolution remote sensing images improved with attention mechanism

Ziyan Wang, Da Ran

Author Affiliations +

Proceedings Volume 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024); 132541Y (2024) https://doi.org/10.1117/12.3039133
Event: Fourth International Conference on Optics and Image Processing (ICOIP 2024), 2024, Chongqing, China

Abstract

On the basis of the existing road extraction methods and the characteristics of high-resolution remote sensing images, this paper proposes a multispectral-guided hybrid attention mechanism road extraction model (MS-DANET), which introduces a parallel hybrid attention mechanism to process the dual-branch image features between the encoder and decoder structure. It is shown from experimental results that MS-DANET outperforms current road extraction networks and exhibits excellent results with higher road extraction accuracy and better integrity.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyan Wang and Da Ran "Research on road extraction network of high-resolution remote sensing images improved with attention mechanism", Proc. SPIE 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024), 132541Y (13 September 2024); https://doi.org/10.1117/12.3039133

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