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Remote Sensing Technology and Application
    
A Method of Railway Centerline Extraction from High Spatial Resolution Images
Wang Hua1,Han Zujie1,Wang Zhimin2
(1.Engineering Laboratory,The Third Railway Survey and Design Institute Group Corporation, Tianjin 300161,China;2.Automobile Transport Command Department, Military Transportation University,Tianjin 300161,China)
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Abstract  Rare attention has been paid on railway extraction in high resolution images,which is important and necessary for railway exploration.Railway has rich edge feature and good directionality.Meanwhile,the disturbances of track-shade which has the approximate direction with the centerline create deviation in the extraction process so that make the centerline offset greatly.A two-stage method is proposed for railway extraction in this paper,firstly,the initial direction is computed based on confidence direction histogram,and then,gross errors are removed according to initial direction and the distance of tracks,LSF algorithm is applied to obtain the accurate equations of the two tracks which are mostly adjacent to the centerline,finally,the accurate direction of centerline is obtained by the interpolation of the two adjacent track-line equations.And 1 000 meter high-speed railway was chosen from the LiDAR image to do experiment.The experiment result shows that the approach can extract railway centerline accurately and effectively.
Key words:  High resolution image      Railway centerline extraction      Direction histogram      LSF      Belief     
Received:  17 May 2012      Published:  14 March 2014
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Wang Hua
Han Zujie
Wang Zhimin

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Wang Hua,Han Zujie,Wang Zhimin. A Method of Railway Centerline Extraction from High Spatial Resolution Images. Remote Sensing Technology and Application, 2013, 28(5): 761-765.

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http://www.rsta.ac.cn/EN/     OR     http://www.rsta.ac.cn/EN/Y2013/V28/I5/761

[1] Hu Jingang,Zhang Xiaodong,Shen Xin,et al.A Method of Road Extraction in High-resolution Remote Sensing Imagery based on Object-orient Image Analysis[J].Remote Sensing Technology and Application,2006,21(3):184-188.[胡进刚,张晓东,沈欣,等.一种面向对象的高分辨率影像道路提取方法[J].遥感技术与应用,2006,21(3):184-188.]
[2] Luo Qingzhou,Yin Qiu,Kuang Dingbo.Researchon Extracting Road based on Its Spectral Feature and Shape Feature[J].Remote Sensing Technology and Application,2007,22(2):339-334.[罗庆洲,尹球,匡定波.光谱与形状特征相结合的道路提取方法研究[J].遥感技术与应用,2007,22(2):339-334.]
[3] Peter R,Celle C,Ranchin T.Detection and Extraction of Road Networks from High Resolution Satellite Images[C]//IEEE International Conference on Image Processing,Barcelona,Spain,2003:301-304.
[4] Zhou Shaoguang,Xu Yong.To Extract Roads with No Clear and Continuous Boundaries in RS Images[J].Acta Geodaetica et Cartographica Sinica,2008,37(3):301-307.[周绍光,徐勇.在高分辨率遥感影像中提取无清晰连续边缘线的道路[J].测绘学报,2008,37(3):301-307.]
[5] Miriam A,Femando M,Margarlta T.Road Extraction from Aerial Images Using a Region Competition Algorithm[J].IEEE Transaction on Image Processing,2006,15(5):1192-1201.
[6] Wen Qiang,Wang Jin,Shi Wei.Monorail Transportation PC Rail Beam Edge Detection based on Image Processing[J].Railway Computer Application,2010,19(9):18-21.[文强,王进,师维.基于图像处理的单轨交通PC轨道梁边缘检测[J].铁路计算机应用,2010,19(9):18-21.]
[7] Tang Liang,Xie Weixin,Huang Jianjun,et al.A New Method for Main Roads Description:Symmetrical Edge Orientation Histogram[J].Acta Electronica Sinica,2005,33(1):7-11.[唐亮,谢维信,黄建军,等.一种新的道路描述算子:对称边缘方向直方图[J].电子学报,2005,33(1):7-11.]
[8] Qin Zhen,Cao Jianzhong.New Mean-shift Tracking Algorithm based on Orientation Hisgram[J].Electronic Design Engineering,2011,19(12):168-171.[秦臻,曹剑中.基于方向直方图的Mean shift目标跟踪新算法[J].电子设计工程,2011,19(12):168-171.]
[9] Yang Jun,Wang Runsheng.Scene Perception and Classified Detection for Roads in Remote Sensing Images[J].Journal of Computer-aided Design & Computer Graphics,2007,19(3):334-339.[杨俊,王润生.遥感道路的场景感知与分类检测[J].计算机辅助设计与图形学学报,2007,19(3):334-339.]
[10]Kang Chuanli,Yao Lianbi.Line Type Identification Method based on Least Trimmed Squares[J].Computer Applications,2007,27(6):1488-1492.[康传利,姚连璧.基于最小截取二乘法的道路线性识别算法[J].计算机应用,2007,27(6):1488-1492.]〖ZK)〗〖HT〗〖FL)〗
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