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Road Network Extraction From Low-Contrast SAR Images

机译：低对比度SAR图像中的路网提取

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摘要

In low-contrast synthetic aperture radar (SAR) images, the contrast between roads and surrounding objects is low; therefore, many false roads will be introduced in the process of extracting road networks. To solve this problem, a two-step road network extraction framework is proposed. In the first step, the edge information of the road is extracted using a linear detector. To reduce false edges, a false edge removal algorithm based on the directional information of the edges is proposed. In the second step, an improved region growing (RG) algorithm is proposed, which can substantially improve the integrity of the road network extraction compared with the traditional RG algorithm. Finally, the proposed algorithm is validated by GF-3 satellite SAR images.
机译：在低对比度合成孔径雷达（SAR）图像中，道路与周围物体之间的对比度很低；因此，在提取道路网络的过程中将引入许多错误的道路。为了解决这个问题，提出了两步路网提取框架。第一步，使用线性检测器提取道路的边缘信息。为了减少假边缘，提出了一种基于边缘方向信息的假边缘去除算法。第二步，提出了一种改进的区域增长算法，与传统的RG算法相比，该算法可以大大提高路网提取的完整性。最后，该算法通过GF-3卫星SAR图像进行了验证。

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  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2019年第6期|907-911|共5页
  • 作者

    Zeng Tao; Gao Qiang; Ding Zegang; Chen Jing; Li Gen;

  • 作者单位

    Beijing Inst Technol, Radar Res Lab, Sch Informat & Elect, Beijing 100081, Peoples R China|Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Radar Res Lab, Sch Informat & Elect, Beijing 100081, Peoples R China|Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Radar Res Lab, Sch Informat & Elect, Beijing 100081, Peoples R China|Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Radar Res Lab, Sch Informat & Elect, Beijing 100081, Peoples R China|Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China;

    Beijing Inst Technol, Radar Res Lab, Sch Informat & Elect, Beijing 100081, Peoples R China|Beijing Key Lab Embedded Real Time Informat Proc, Beijing 100081, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Low-contrast synthetic aperture radar (SAR) image; Monte Carlo analysis; region growing (RG); road network extraction;

    机译：低对比度合成孔径雷达（SAR）图像;蒙特卡罗分析;区域生长（RG）;道路网络提取;

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