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

Yao Yi Chiang, Craig A. Knoblock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publication18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
Pages544-545
Number of pages2
DOIs
StatePublished - 2010
Externally publishedYes
Event18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010 - San Jose, CA, United States
Duration: Nov 2 2010Nov 5 2010

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Other

Other18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
Country/TerritoryUnited States
CitySan Jose, CA
Period11/2/1011/5/10

Keywords

  • GIS
  • Map processing
  • Raster maps
  • Road vectorization

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