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Proceedings Paper

Automatic roads change detection in images with vector data and dynamic templates matching
Author(s): Pengfei Liu; Jianqing Zhang; Li Pan; Yijing Li; Songbai Zou
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Paper Abstract

In this paper, with the auxiliary of old GIS vector data, a routine for roads changing detection is proposed: find enough road center points firstly using the dynamic binary templates matching, then remove the noise points With the Hough transformation, Artificial Neural Network or even the Active Contour Model (Snakes), based on the extracted points, try to searching new road points as many as possible with the the templates matching, and last get the changes information along each road by judging the distance between the old road polylines and the newly extracted points. Experiments prove that this routine is effective to detect the change of roads in the image.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749845 (30 October 2009); doi: 10.1117/12.834079
Show Author Affiliations
Pengfei Liu, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)
Li Pan, Wuhan Univ. (China)
Yijing Li, Nanchang Univ. (China)
Songbai Zou, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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