A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data

A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data

Transformer-based semantic segmentation architectures excel in extracting road networks from very-high-resolution (VHR) satellite images due to their ability to capture global contextual information. Nonetheless, there is a gap in research regarding their comparative effectiveness, efficiency, and p...

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Bibliographic Details
Main Authors: Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Science of Remote Sensing
Subjects:
Remote sensing
Road extraction
Satellite data
Semantic segmentation
Vision Transformers
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017224000749
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