Paper
25 September 2003 A new perceptual grouping strategy for automatic extraction of road networks from remotely sensed images
Haigang Sui, Deren Li, Jianya Gong
Author Affiliations +
Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538688
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haigang Sui, Deren Li, and Jianya Gong "A new perceptual grouping strategy for automatic extraction of road networks from remotely sensed images", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538688
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KEYWORDS
Roads

Image segmentation

Image processing

Silver

Distributed interactive simulations

Feature extraction

Mathematics

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