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Dual-Task Supervised Network for SAR and Road Vector Image Matching

We propose using Synthetic Aperture Radar (SAR) images as real-time images and road vector images as reference images for matching navigation, and propose a Siamese U-Net dual-task supervised network for solving the problem, called SUDS. Unlike existing methods of heterogenous image matching, which...

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Principais autores: Hanyu Cai, Yong Xian, Shaopeng Li, Decao Ma
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2025-10-01
Series:Remote Sensing
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Acceso en liña:https://www.mdpi.com/2072-4292/17/20/3504
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