Road tracking by circular template matching from high resolution remotely sensed imagery

Author

Ye Tian ; Li, Haitao ; Haiyan Gu ; Xiangguo Lin

Author_Institution

Inst. of Photogrammetry & Remote Sensing, Chinese Acad. of Surveying & Mapping, Beijing

fYear

2009

fDate

20-22 May 2009

Firstpage

1

Lastpage

5

Abstract

Template matching has been brought effective results in road tracking. Actually, the shape of template plays a very important role. In this paper, a novel circular template is utilized to search the center points of the road. The circular template is not necessary to rotate for the isotropy of template when searching the optimal road axis point, which means less computation. At the same time, least square matching method is employed to trace the road trajectory. The main purpose of the paper is to propose a circular template that improves the performance value of tracking road axis. Experiments show that the circular template matching method (CTM) is more efficient than the rectangular template matching (RTM).

Keywords

geophysical signal processing; image matching; least squares approximations; remote sensing; roads; circular template matching; high resolution remote sensing; least square matching method; optimal road axis point; road tracking; road trajectory; Data mining; Humans; Image resolution; Least squares methods; Predictive models; Radar tracking; Remote sensing; Roads; Satellites; Shape; Circular Template Matching; Least Squares Method; Road Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event, 2009 Joint

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3460-2

Electronic_ISBN

978-1-4244-3461-9

Type

conf

DOI

10.1109/URS.2009.5137664

Filename

5137664