TOWARDS FINE-GRAINED ROAD MAPS EXTRACTION USING SENTINEL-2 IMAGERY

7 citations as recorded by crossref.

1. A deep learning approach to satellite image time series coregistration through alignment of road networks A. Pérez et al.
2. AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory N. Gengec et al.
3. National-Scale Detection of New Forest Roads in Sentinel-2 Time Series Ø. Trier & A. Salberg
4. Super-Resolution Rural Road Extraction from Sentinel-2 Imagery Using a Spatial Relationship-Informed Network Y. Jia et al.
5. A deep learning classification approach using high spatial satellite images for detection of built-up areas in rural zones: Case study of Souss-Massa region - Morocco M. Wahbi et al.
6. Use of the SNOWED Dataset for Sentinel-2 Remote Sensing of Water Bodies: The Case of the Po River M. Scarpetta et al.
7. Multi-Class Strategies for Joint Building Footprint and Road Detection in Remote Sensing C. Ayala et al.