DocumentCode :
3275204
Title :
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
Link To Document :
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