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首页> 外文期刊>International journal of remote sensing >Road extraction from SAR imagery based on an improved particle filtering and snake model
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Road extraction from SAR imagery based on an improved particle filtering and snake model

机译：基于改进粒子滤波和蛇形模型的SAR图像道路提取

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摘要

This article presents an improved approach for road extraction from synthetic aperture radar (SAR) imagery. First, an improved fast road detector is used to obtain road response and direction, as well as to reduce false alarm rates resulting from bright line objects. Particle filtering is then applied in selecting road seed points, and particle weight is designed on the basis of the road characteristics derived from SAR images. Finally, a snake model is used to connect the seed points to form a road. Results show that the proposed method is effective, with enhanced completeness, correctness, and quality even under the influence of high-backscattering context objects near roads.
机译：本文提出了一种从合成孔径雷达（SAR）图像提取道路的改进方法。首先，改进的快速道路检测器用于获得道路响应和方向，以及减少由亮线物体引起的误报率。然后将粒子滤波应用于选择道路种子点，并根据从SAR图像得出的道路特征来设计粒子权重。最后，使用蛇模型连接种子点以形成道路。结果表明，该方法即使在道路附近高反向散射上下文对象的影响下，仍具有较高的完整性，正确性和质量。

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  • 来源
    《International journal of remote sensing》 |2013年第22期|8199-8214|共16页
  • 作者

    Junyi Liu; Haigang Sui; Mingming Tao; Kaimin Sun; Xin Mei;

  • 作者单位

    State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan 430079, PR China;

    State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan 430079, PR China;

    Jiangsu Automation Research Institute, Lianyungang 222006, PR China;

    State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan 430079, PR China;

    Faculty of Resources and Environmental Science, Hubei University, Wuhan 430060, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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