Strabo: a system for extracting road vector data from raster maps

Authors:
Yao-Yi Chiang;Craig A. Knoblock
Affiliations:
University of Southern California, Marina del Rey, CA;University of Southern California, Marina del Rey, CA
Venue:
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2010

Citing 5
Cited 0

Automatically and Accurately Conflating Raster Maps with Orthoimagery

Geoinformatica
Automatic and Accurate Extraction of Road Intersections from Raster Maps

Geoinformatica
A Method for Automatically Extracting Road Layers from Raster Maps

ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Extracting road vector data from raster maps

GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
An Approach for Recognizing Text Labels in Raster Maps

ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Raster maps contain valuable road information, which is especially important for the areas where road vector data are otherwise not readily accessible. However, converting the road information in raster maps to road vector data usually requires significant user effort to achieve high accuracy. In this demo, we present Strabo, which is a system that extracts road vector data from heterogeneous raster maps. We demonstrate Strabo's fully automatic technique for extracting road vector data from raster maps with good image quality and the semi-automatic technique for handling raster maps with poor image quality. We show that Strabo requires minimal user input for extracting road vector data from raster maps with varying map complexity (i.e., overlapping features in maps) and image quality.