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Proceedings Paper

A new perceptual grouping strategy for automatic extraction of road networks from remotely sensed images
Author(s): Haigang Sui; Deren Li; Jianya Gong
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Paper Abstract

Automatic extracting and updating road networks is a key work for updating geo-spatial information especially in developing countries. Aiming at the deficiency of the perceptual grouping based on geometric relation and based on the similar relation, a new perceptual grouping method that is so-called the perceptual grouping based on teh whole relationship is presented. In this method, all kinds of information including geometric properties, image attributes and other information are group based on the similarity rules. Based on this new grouping framework, the principles and the procedures of automatic road segments grouping are described in detail from two aspects: one is automatic perceptual grouping for similar road segments and another is automatic extended road segments for no-similar road segments. At last some discussion for new perceptual grouping strategy is given.

Paper Details

Date Published: 25 September 2003
PDF: 8 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538688
Show Author Affiliations
Haigang Sui, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Jianya Gong, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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