DSWFNet: dual-branch fusion of spatial and wavelet features for road extraction from remote sensing images

Road extraction from remote sensing imagery is essential for urban planning, traffic monitoring, and emergency response. However, existing methods often focus solely on spatial-domain features, limiting their ability to model complex topological structures like narrow or fragmented roads. To address...

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Bibliographic Details

Main Authors:	Zhang, Kunlun, As'arry, Azizan, Shen, Xibing, Hairuddin, Abdul Aziz, Hassan, Mohd Khair, Zhu, Liucun, Qin, Weirong
Format:	Article
Language:	en
Published:	Springer Science and Business Media 2025
Subjects:	Multidisciplinary
Online Access:	http://psasir.upm.edu.my/id/eprint/124729/1/124729.pdf http://psasir.upm.edu.my/id/eprint/124729/ https://www.nature.com/articles/s41598-025-34091-3
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