A knowledge-based system for highway network extraction

Author

Wang, Fangju ; Newkirk, Richard

Author_Institution

Fac. of Environ. Studies, Waterloo Univ., Ont., Canada

Volume

26

Issue

5

fYear

1988

fDate

9/1/1988 12:00:00 AM

Firstpage

525

Lastpage

531

Abstract

A knowledge-based system has been set up to extract highway networks automatically from Landsat thematic mapper (TM) imagery. The system was developed using image processing algorithms and some artificial intelligence techniques. It inputs raw TM data and outputs an interpreted image clearly identifying highway and road networks. The main algorithms in the system are discussed in detail, results are presented, and features of the system are examined. Landsat TM images of study areas in Toronto, Canada, are presented by way of illustration

Keywords

cartography; computerised picture processing; expert systems; geophysical techniques; remote sensing; road traffic; Landsat thematic mapper; TM imagery; artificial intelligence; cartography; computer method; highway network extraction; image processing algorithms; knowledge-based system; map making; remote sensing; road system; roadway; technique; Artificial intelligence; Automated highways; Automatic control; Data mining; Digital images; Image processing; Knowledge based systems; Pattern recognition; Remote sensing; Road transportation; Satellites;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.7677

Filename

7677