Volume 34 Issue 3
Mar.  2009
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LIN Xiangguo, ZHANG Jixian, LI Haitao, YANG Jinghui. Semi-automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by a T-shaped Template Matching[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 293-296.
Citation: LIN Xiangguo, ZHANG Jixian, LI Haitao, YANG Jinghui. Semi-automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by a T-shaped Template Matching[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 293-296.
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Semi-automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by a T-shaped Template Matching

  • 1School of Resources and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2Chinese Academy of Surveying and Mapping,16 Beitaiping Road,Haidian District,Beijing 100039,China

Funds: 国家973计划资助项目(20006CB701303)；国家863计划资助(2007AA12Z151)
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  • Received Date: January 15, 2009
  • Revised Date: January 15, 2009
  • Published Date: March 04, 2009
    Graphical Abstract
    • Abstract
  • Based on the characteristics of roads on high-resolution remotely sensed imagery,a T-shaped template matching is proposed to track ribbon roads with much vehicles occlusion and shadow of colonnade on roads' edges.The T-shaped template matching integrates the merits of profile matching and template matching.Our tracker uses angular texture signature to locate the starting point and to measure the road width and road direction,and employs a T-shaped template matching to predict the sequential road points.It is proved a more robust semi-automatic road tracker.
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