TY - GEN
T1 - Automatic extraction of road intersection position, connectivity, and orientations from raster maps
AU - Chiang, Yao Yi
AU - Knoblock, Craig A.
PY - 2008
Y1 - 2008
N2 - The road network is one of the most important types of information on raster maps. In particular, the set of road intersection templates, which consists of the road intersection positions, the road connectivities, and the road orientations, represents an abstraction of the road network and is more accurate and easier to extract than the extraction of the entire road network. To extract the road intersection templates from raster maps, the thinning operator is commonly used to find the basic structure of the road lines (i.e., to extract the skeletons of the lines). However, the thinning operator produces distorted lines near line intersections, especially at the T-shaped intersections. Therefore, the extracted position of the road intersection and the road orientations are not accurate. In this paper, we utilize our previous work on automatically extracting road intersection positions to identify the road lines that intersect at the intersections and then trace the road orientations and refine the positions of the road intersections. We compare the proposed approach with the usage of the thinning operator and show that our proposed approach extracts more accurate road intersection positions and road orientations than the previous approach.
AB - The road network is one of the most important types of information on raster maps. In particular, the set of road intersection templates, which consists of the road intersection positions, the road connectivities, and the road orientations, represents an abstraction of the road network and is more accurate and easier to extract than the extraction of the entire road network. To extract the road intersection templates from raster maps, the thinning operator is commonly used to find the basic structure of the road lines (i.e., to extract the skeletons of the lines). However, the thinning operator produces distorted lines near line intersections, especially at the T-shaped intersections. Therefore, the extracted position of the road intersection and the road orientations are not accurate. In this paper, we utilize our previous work on automatically extracting road intersection positions to identify the road lines that intersect at the intersections and then trace the road orientations and refine the positions of the road intersections. We compare the proposed approach with the usage of the thinning operator and show that our proposed approach extracts more accurate road intersection positions and road orientations than the previous approach.
KW - Raster map
KW - Road intersection template
KW - Road layer
KW - Road orientation
KW - Thinning
UR - http://www.scopus.com/inward/record.url?scp=70449700383&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449700383&partnerID=8YFLogxK
U2 - 10.1145/1463434.1463463
DO - 10.1145/1463434.1463463
M3 - Conference contribution
AN - SCOPUS:70449700383
SN - 9781605583235
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 183
EP - 192
BT - Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2008
T2 - 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS 2008
Y2 - 5 November 2008 through 7 November 2008
ER -