DocumentCode
275579
Title
Road network extraction from Landsat TM image
Author
Taniguchi, Rin-Ichiro ; Kawaguchi, Eiji
Author_Institution
Kyusha Univ., Fukuoka, Japan
fYear
1989
fDate
18-20 Jul 1989
Firstpage
222
Lastpage
226
Abstract
The paper presents a road extraction process built in ELIA, which is a knowledge-based system for analyzing geographic information reflected in Landsat TM images. In the extraction process, the knowledge of roads is well organized. The process consists of (i) augmented edge primitive detection using long-shaped edge templates, (ii) edge clustering (iii) connection of fragmental road segments based on collinearity and perpendicularity, etc. The effectiveness of this method is shown in some experimental results
Keywords
computerised picture processing; geographic information systems; remote sensing; ELIA; Landsat TM image; augmented edge primitive detection; collinearity; edge clustering; fragmental road segments; geographic information; knowledge-based system; perpendicularity; road network extraction;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1989., Third International Conference on
Conference_Location
Warwick
Type
conf
Filename
132124
Link To Document