MSM_RoadNet: Multispectral Deep Network for Road Extraction With Application to Temporal Change Detection

With its abundant spectral information, multispectral remote sensing has become a pivotal tool for the intelligent management of road infrastructure, specifically in the precise extraction and dynamic monitoring of road networks. However, this field still faces three major challenges: the lag in mul...

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Detalhes bibliográficos

Principais autores:	Shenghui Wu, Haiyan Fu, Yao Tan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
Colecção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Change detection deep learning Mamba architecture multispectral feature fusion multispectral remote sensing road extraction
Acesso em linha:	https://ieeexplore.ieee.org/document/11576576/
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