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September 27, 2025Open Access

DeH4R: A Decoupled and Hybrid Method for Road Network Graph Extraction

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Authors

DGDandan GongSJShunping Ji

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Overview

The proposed hybrid model enhances topology fidelity in road network graphs, suggesting improved computational efficiency in geospatial analysis.

Key Points

  • DeH4R improves road network graph extraction efficiency and accuracy, outperforming previous models in speed and fidelity.
  • State-of-the-art performance was demonstrated on CityScale, achieving 4.62 APLS and 10.18 IoU improvements over RNGDet++.
  • The method combines graph-generating efficiency with dynamics while enabling vertex insertions to enhance spatial consistency.
  • Comprehensive evaluations validate the method across established benchmarks, solidifying its place in geospatial computer vision.

Cite This Study

Gong et al. (2025) studied this question.

synapsesocial.com/papers/68d7cc6eeebfec0fc5238f0fhttps://doi.org/10.48550/arxiv.2508.13669
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