Semi-automatic road centerline extraction in high-resolution SAR images based on circular template matching

Author

Cheng, Jianghua ; Guan, Yongfeng ; Ku, Xishu ; Sun, Jixiang

Author_Institution

Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

fYear

2011

fDate

15-17 April 2011

Firstpage

1688

Lastpage

1691

Abstract

Because of the disturb of trees along roads, buildings to cover, cars getting on the road an etc, it is difficult to automatically extract centerline of roads from high-resolution SAR images. This paper presents a new semi-automatic road centerline extraction method based on circular template matching. Firstly, circular template and the road orientation are calculated by user-given input two points. Secondly, center points are searched by matching the template against the image along the orientation of the road under consideration. Finally, the extracted center points are linked by quadratic curve fitting. Human interactions are needed when center points searching failed. SAR images with 1 meter resolution taken by airborne SAR were used in the experiment. And the results show that the centerline extraction method mentioned above is effective in high resolution SAR images.

Keywords

airborne radar; curve fitting; feature extraction; geophysical image processing; image matching; image resolution; radar imaging; roads; synthetic aperture radar; airborne images; center points extraction; centerline extraction method; circular template matching; high-resolution SAR images; quadratic curve fitting; semi-automatic road centerline; Buildings; Data mining; Entropy; Fitting; Image resolution; Remote sensing; Roads; Circular template matching; Half-Automatic; High resolution; SAR;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777358

Filename

5777358