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文章基本信息

  • 标题:Detection of Railroad Networks in SAR Images
  • 作者:Safak Altay Açar ; Safak Bayir
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2018
  • 卷号:9
  • 期号:9
  • DOI:10.14569/IJACSA.2018.090918
  • 出版社:Science and Information Society (SAI)
  • 摘要:In this study, a railroad networks detection method for synthetic aperture radar (SAR) images is proposed. Proposed method consists of three steps. Firstly, railroad segments are detected. An existing line detector is modified by describing some rules for this process. Then segments are connected by utilizing perceptual grouping. Finally, a new line analysis algorithm is applied to determine real parts of railroad networks. A software is developed to achieve and evaluate proposed method. Completeness and correctness values which are obtained after different steps are computed to evaluate proposed method. Two different TerraSAR-X images are used in experiments and obtained results are discussed in detail.
  • 关键词:Remote sensing; synthetic aperture radar; railroad networks detection; perceptual grouping
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