DeH4R: A Decoupled and Hybrid Method for Road Network Graph Extraction (opens in new tab)

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 more topologically faithful graphs but suffer from computationally prohibitive iterative region of interest (ROI) cropping. Graph-generating methods first predict...