AI RESEARCH
DeH4R: A Decoupled and Hybrid Method for Road Network Graph Extraction
arXiv CS.CV
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ArXi:2508.13669v2 Announce Type: replace The automated extraction of complete and precise road network graphs from remote sensing imagery remains a critical challenge in geospatial computer vision. Segmentation-based approaches, while effective in pixel-level recognition, struggle to maintain topology fidelity after vectorization postprocessing. Graph-growing methods build topologically faithful graphs but suffer from computationally prohibitive iterative ROI cropping.