GLTDNet: Cross-Domain Road Extraction Through Collaborative Optimization of Global-Local Feature Enhancement and Topological Decoupling
In the realm of cross-sensor and cross-resolution applications, remote sensing-based road extraction across diverse domains frequently encounters hurdles such as undetected road segments, erroneous identifications, and distortions in topological representation. To tackle these challenges, this study...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11049897/ |
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