Title :
Road network extraction from Landsat TM image
Author :
Taniguchi, Rin-Ichiro ; Kawaguchi, Eiji
Author_Institution :
Kyusha Univ., Fukuoka, Japan
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;
Conference_Titel :
Image Processing and its Applications, 1989., Third International Conference on
Conference_Location :
Warwick
