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  • 标题:A NEW URBAN ROAD DETECTION METHOD IN HIGH-RESOLUTION IMAGES BASEDON BAYESIAN NETWORK
  • 本地全文:下载
  • 作者:Chuan Xu ; Yuanyuan Feng ; Juan Du
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2009
  • 卷号:XXXVIII-4/W10
  • 出版社:Copernicus Publications
  • 摘要:In view of the fact that road network detection effect in high-resolution image is not satisfying, an approach for road network detection based on Bayesian Network is put forward in this paper. First, under the guidance of existing GIS data, extract roads from remote-sensing images, and obtain most of the unchanged road edge information and suspected road edge information. Then, making use of the reasoning ability of Bayesian Network, collect strong evidence for identifying road network. Judge and make an inference from road edge information with the method of hypothetical test to extract road network in the remote-sensing image, and change information of the road network can also be obtained
  • 关键词:High Resolution Image; Road Detection; Bayesian Network; GIS Guidance
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