A matched-filter-based reverse-time migration algorithm for ground-penetrating radar data
A matched-filter-based reverse-time migration algorithm for ground-penetrating radar data
复制标题
DOI：
10.1109/36.921410
复制
发表时间：
2001-05-01
影响因子：
8.2
通讯作者：
Plumb, RG
中科院分区：
文献类型：
--
作者：
Leuschen, CJ;Plumb, RG
探地雷达是一种遥感技术，用于从地表收集的数据中获取关于地下特征的信息。收集数据的过程可以被视为从对象空间到图像空间的映射。由于大多数GPR使用宽波束天线，从埋地结构反射的能量在图像空间中的大的横向孔径上被记录。迁移算法被用来重建一个准确的散射地图，通过重新聚焦记录的散射事件，以他们的真实空间位置，通过反向传播过程。本文的目的是提出一对时域有限差分（FDTD）逆时偏移算法的CPR数据处理。线性逆散射理论被用来开发一个匹配滤波器响应的探地雷达问题。逆时迁移算法，双基地和单基地天线配置开发，通过FDTD在对象空间中实现。提出了几个例子。
Ground-penetrating radar (GPR) is a remote sensing technique used to obtain information on subsurface features from data collected over the surface. The process of collecting data may be viewed as mapping from the object space to an image space. Since most GPRs use broad beamwidth antennas, the energy reflected from a buried structure is recorded over a large lateral aperture in the image space. Migration algorithms are used to reconstruct an accurate scattering map by refocusing the recorded scattering events to their true spatial locations through a backpropagation process. The goal of this paper is to present a pair of finite-difference time-domain (FDTD) reverse-time migration algorithms for CPR data processing. Linear inverse scattering theory is used to develop a matched-filter response for the GPR problem. The reverse-time migration algorithms, developed for both bistatic and monostatic antenna configurations, are implemented via FDTD in the object space. Several examples are presented.