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Proceedings Paper

A rapid algorithm of road boundary extraction in universal remote sensing images
Author(s): Xiajun Zhu; Xun Wang
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Paper Abstract

Road information in RS images has high application value in many fields. Much attention has been paid to road extraction in RS images in recent years, and a lot of algorithms have been developed. But most of algorithms are limited to certain type of RS images, or feature low rate of recognition, and so on. So far users still can't find a satisfactory method. In order to meet the demands on data acquisition of GIS application, we developed a new extraction algorithm on road border. In this method, all roads are classified into two categories: roads with complete information and roads with incomplete information. At beginning, binary image is achieved through simple pretreatment on the whole RS image. With the initial seed point given artificially, then the whole road borders will be searched out rapidly making use of the five-neighborhoods searching algorithm. Roads that can't be searched successfully in above steps are named as roads with incomplete information. To these roads we add certain extra processes and extract borders again.

Paper Details

Date Published: 10 July 2009
PDF: 5 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748907 (10 July 2009); doi: 10.1117/12.836833
Show Author Affiliations
Xiajun Zhu, Zhejiang Gongshang Univ. (China)
Xun Wang, Zhejiang Gongshang Univ. (China)

Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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