A New Approach to Automatic Positioning of Road Junctions in High Spatial Resolution Remotely Sensed Imagery
ZHANG Wei-wei1,2, MAO Zheng-yuan1,2
1. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China;
2. Provincial Spatial Information Engineering Research Center, Fuzhou University, Fuzhou 350002, China
Abstract：On the basis of systematically inducing and analyzing the methods to extract road junctions from remotely sensed imagery,a new approach to automatically positioning road junctions in high spatial resolution images is presented in this paper. The related algorithm includes the following steps: firstly,the homogeneous areas are obtained by lower gradient operator; then,waters,shadows and small areal distracting features are removed one by one; after that,the straight lines are detected in the binary image by means of Hough transform; finally,the detected straight lines are sorted according to the frequency with which they appear,and the road junctions are indicated with the average coordinates of the intersections of several top frequent straight lines each of which at least has one intersection angle larger than the predetermined threshold. In the case study,an intersection and a junction of three roads were located in local urban area of Fuzhou by using QuickBird panchromatic image as sample data,showing that the proposed approach,with robustness against spectral confusion and confused features,can efficiently and accurately locate road junctions.
张伟伟, 毛政元. 一种面向高空间分辨率遥感影像的路口自动定位新方法[J]. 国土资源遥感, 2012, 24(1): 13-16.
ZHANG Wei-wei, MAO Zheng-yuan. A New Approach to Automatic Positioning of Road Junctions in High Spatial Resolution Remotely Sensed Imagery. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 13-16.
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2012, Vol. 24 
