Automatic roads change detection in images with vector data and dynamic templates matching

Pengfei Liu; Jianqing Zhang; Li Pan; Yijing Li; Songbai Zou

doi:10.1117/12.834079

30 October 2009 Automatic roads change detection in images with vector data and dynamic templates matching

Pengfei Liu, Jianqing Zhang, Li Pan, Yijing Li, Songbai Zou

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749845 (2009) https://doi.org/10.1117/12.834079
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Pengfei Liu, Jianqing Zhang, Li Pan, Yijing Li, and Songbai Zou "Automatic roads change detection in images with vector data and dynamic templates matching", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749845 (30 October 2009); https://doi.org/10.1117/12.834079

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KEYWORDS

Roads

Binary data

Image segmentation

Data centers

Data modeling

Geographic information systems

Image processing

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