Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery
IntroductionOpenStreetMap (OSM) road surface data is critical for navigation, infrastructure monitoring, and urban planning but is often incomplete or inconsistent. This study addresses the need for automated validation and classification of road surfaces by leveraging high-resolution aerial imagery...
Saved in:
| Main Authors: | R. Parvathi, V. Pattabiraman, Nancy Saxena, Aakarsh Mishra, Utkarsh Mishra, Ansh Pandey |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
|
| Series: | Frontiers in Big Data |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2025.1657320/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing
by: Fan Shen, et al.
Published: (2025-01-01) -
Des TIC au TOC. Contribuer à OpenStreetMap : entre commun numérique et utopie cartographique
by: Marina Duféal, et al.
Published: (2017-04-01) -
Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling
by: Chuqiao Han, et al.
Published: (2025-05-01) -
Enhancing Privacy by Large Mask Inpainting and Fusion-Based Segmentation in Street View Imagery
by: Mahdi Khourishandiz, et al.
Published: (2025-08-01) -
Corporate mapping in OpenStreetMap – shifting trends in global evolution and small-scale effects
by: Lilly Tockner, et al.
Published: (2025-05-01)