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Primerjava metod ekstrakcije cestnega omrežja za prostorsko načrtovanje distribucije električne energije

Year: 2026

Type: article

Abstract: Accurate road network extraction from high-resolution overhead imagery is a prerequisite for corridor-aware routing and cost modelling in power-system infrastructure planning, where medium- and low-voltage lines often follow transport rights-ofway. Yet roads are thin, occluded, and cluttered, and downstream optimisation needs routable graphs, not just masks. We benchmark six representative pipelines (SAM-Road, D-LinkNet, CRESI, CU-dGCN, Sat2Graph, and U-Net-ResNet18) on SpaceNet imagery. The comparison reveals trade-offs between segmentation-centric and graph-aware designs and highlights where topology fails most often. Finally, practical guidance is provided for selecting road extractors that deliver reliable, optimisation-ready networks for power distribution corridor planning and the routing of medium- and low-voltage lines.

Source: Repository of the University of Ljubljana (University of Ljubljana)

Authors: Križaj, Janez, Štruc, Vitomir

Institution: University of Ljubljana

Language: English

Topic: Automated Road and Building Extraction

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W7140966115

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