首页> 外文会议>Ninth International Conference on Ground Penetrating Radar GPR 2002, Apr 29-May 2, 2002, Santa Barbara, California USA >DETECTING AND CLASSIFYING OF PHYSICAL AND GEOMETRICAL CHARACTERISTICS OF THE SUBSURFACE THROUGH THE USE OF COMPUTING DIAGNOSTICS METHOD FOR GROUND PENETRATING RADAR
【24h】

DETECTING AND CLASSIFYING OF PHYSICAL AND GEOMETRICAL CHARACTERISTICS OF THE SUBSURFACE THROUGH THE USE OF COMPUTING DIAGNOSTICS METHOD FOR GROUND PENETRATING RADAR

机译:通过计算机诊断方法对地磁穿透雷达进行地下物理和几何特征的检测和分类

获取原文
获取原文并翻译 | 示例

摘要

The method of computational diagnostics has been recently developed to determine the depth of layers and their electro-physical parameters related to structural diagnostics (monitoring of road pavements, runways, etc.). The method of computational diagnostics is based on minimizing a certain smoothing functional, which includes a functional of discrepancy between the resulting measurements of scattered electromagnetic field and the results of a direct model problem, and also a stabilizing functional accounting for a priori data on the electrophysical and geometrical parameters of a sounded object (medium). The solution minimizing this functional is found both by one of the iterative techniques (simple iteration, steepest descent, conjugate gradients, etc.) and direct techniques. The problem discussed is related to the complexity of searching for a global minimum of the finite dimensional spaces of the layer parameters, when this complexity is brought about by the multiple-extremality of the functional. The examples are presented of the actually restored electrophysical and geometrical medium parameters by using a video pulse ultra-wideband ground penetrating radar.
机译:最近开发了计算诊断方法来确定层的深度及其与结构诊断(监视路面,跑道等)有关的电物理参数。计算诊断方法基于最小化某些平滑函数的功能,该函数包括散射电磁场的测量结果与直接模型问题的结果之间的差异,以及稳定的函数,可解释电物理的先验数据和声音对象(中等)的几何参数。可以通过一种迭代技术(简单迭代,最陡下降,共轭梯度等)和直接技术来找到使该功能最小化的解决方案。所讨论的问题与搜索复杂度有关,因为该复杂度是由函数的多重极值引起的,因此要搜索层参数的有限维空间的全局最小值。通过使用视频脉冲超宽带探地雷达介绍了实际恢复的电物理和几何介质参数的示例。

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