Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints

By Jiuxiang Hu, Anshuman Razdan, John C. Femiani, Ming Cui, Peter Wonka. IEEE Transactions on Geoscience and Remote Sensing, 2007

348 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends (2012, background): “Manymethods have been developed to detect urban road network fromhigh-resolution images (Hu et al., 2007; Long & Zhao, 2005; Shi & Zhu, 2002; Zhu et al., 2005).”
DeepRoadMapper: Extracting Road Topology from Aerial Images (2017, background): “In [11], homogeneous areas are detected based on their shape and a road tree is then grown by tracking the roads.”
Learning to Detect Roads in High-Resolution Aerial Images (2010, background): “Another common strategy involves tracking roads from either expert-provided or automatically extracted starting points [19, 4].”
RoadTracer: Automatic Extraction of Road Networks from Aerial Images (2018, background): “introduce road footprints, which are detected based on shape classification of the homogeneous region around a pixel [9].”