...
首页> 外文期刊>International journal of remote sensing >Full-polarimetric SAR measurements for coastline extraction and coastal area classification
【24h】

Full-polarimetric SAR measurements for coastline extraction and coastal area classification

机译:用于海岸线提取和沿海地区分类的全极化SAR测量

获取原文
获取原文并翻译 | 示例
           

摘要

In this study, full-polarimetric synthetic aperture radar measurements are used for coastline extraction and to provide a rough classification of the inland area close to the extracted coastline according to the dominant scattering mechanisms. Scattering-based parameters, derived from the Freeman-Durden (FD) decomposition, are exploited to both extract the coastline and classify the inland area. With respect to coastline extraction, a challenging scenario that includes sandy beaches is considered and experimental results demonstrate that the FD surface component provides the best performance in terms of accuracy in detecting the sandy beach. With respect to the inland area classification, FD components are shown to provide useful information on the dominant scattering mechanisms that characterize the imaged area. This information, together with the extracted coastline, can be used to generate risk maps that help coastal area management.
机译:在这项研究中,全极化合成孔径雷达测量用于海岸线提取,并根据主要散射机制对靠近提取海岸线的内陆地区进行了粗略分类。来自Freeman-Durden(FD)分解的基于散射的参数可用于提取海岸线和对内陆地区进行分类。关于海岸线提取,考虑了包括沙滩在内的具有挑战性的方案,实验结果表明,FD表面分量在检测沙滩方面的准确性方面提供了最佳性能。关于内陆地区分类,显示了FD组件可提供有关表征成像区域特征的主要散射机制的有用信息。该信息以及提取的海岸线可用于生成有助于沿海地区管理的风险图。

著录项

  • 来源
    《International journal of remote sensing》 |2017年第23期|7405-7421|共17页
  • 作者单位

    Univ Napoli Parthenope, Dipartimento Ingn, Ctr Direz Isola C4, I-80143 Naples, Italy;

    Univ Napoli Parthenope, Dipartimento Ingn, Ctr Direz Isola C4, I-80143 Naples, Italy;

    Univ Napoli Parthenope, Dipartimento Ingn, Ctr Direz Isola C4, I-80143 Naples, Italy;

  • 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
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号