首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Modified Entropy-Based Fully Polarimetric Target Classification Method for Ground Penetrating Radars (GPR)
【24h】

Modified Entropy-Based Fully Polarimetric Target Classification Method for Ground Penetrating Radars (GPR)

机译:改进的基于熵的探地雷达全极化目标分类方法

获取原文
获取原文并翻译 | 示例
           

摘要

Polarimetric scattering characteristics are useful for classifying different radar targets. In particular, the entropy-based H-α classification method has been widely used in remote sensing for classifying land features with different polarimetric scattering properties. However, this method has not been widely adopted in ground penetrating radars (GPR) applications due to the lack of commercial fully polarimetric GPR systems. This paper will demonstrate that the conventional nine-zone H-α classification chart adopted in remote sensing needs to be modified in order to be effective in classifying GPR targets due to the common presence of noise and clutter. The effects of white noise and clutter on H-α features derived from the fully polarimetric scattering data are discussed. This study led to the development of a new four-zone H-α classification chart. The application and effectiveness of classifying linearly polarized and nonpolarized targets using this new chart will be demonstrated via outdoor measurement examples.
机译:极化散射特性可用于对不同的雷达目标进行分类。特别地,基于熵的H-α分类方法已被广泛地用于遥感中以对具有不同偏振散射特性的土地特征进行分类。但是,由于缺乏商用的全极化GPR系统,该方法尚未在探地雷达(GPR)应用中广泛采用。本文将说明,由于噪声和杂波的普遍存在,需要修改遥感中采用的常规九区H-α分类表,以便有效地对GPR目标进行分类。讨论了白噪声和杂波对从全极化散射数据得出的H-α特征的影响。这项研究导致了新的四区H-α分类表的开发。将通过室外测量示例来演示使用此新图表对线性极化和非极化目标进行分类的应用和有效性。

著录项

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