Mine detection performance in different soil conditions using data from an ultrawideband wide-area surveillance radar
Mine detection performance in different soil conditions using data from an ultrawideband wide-area surveillance radar
复制标题
使用超宽带广域监视雷达的数据在不同土壤条件下的地雷探测性能
DOI：
10.1117/12.357113
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
J. Sichina
中科院分区：
文献类型：
--
作者：
L. Nguyen;K. Kappra;D. Wong;M. Ressler;J. Sichina
作为客户和任务资助的应用研究项目的一部分，美国陆军研究实验室（ARL）一直在评估使用低频、超宽带成像雷达来探测埋地雷区。ARL设计并实现了一个仪器级测量系统。为支持探地雷达目标而进行的四次数据收集运动已导致建立了一个重要而独特的雷达图像数据库。我们正在利用这些数据开发地雷探测算法，帮助操作员从背景杂波中分离地雷。本文回顾了ARL在建模、现象学和算法开发方面的最新发现和结果。在1998年SPIE上，我们利用1996年1月在尤马试验场（YPG）收集的数据，报告了一种基于物理的地雷探测算法的性能。随后的测量分别于1997年10月、1998年1月和1998年6月在YPG使用ARL BoomSAR进行。1996年1月试验使用的大多数地雷在1997/1998年试验期间仍在使用。在1996年1月的试验之后，YPG试验增加了更多的地雷和未爆弹药。本文从这些数据收集中讨论了土壤条件的差异，以及可能对矿井雷达截面（RCS）和探测性能产生的影响。将展示不同土壤条件下M20矿井的检测结果。该检测算法调用了现象学上可靠的特征，利用了预期的矿山RCS、纹理、频率相关散射和基于模型的图像相关性。性能评估，根据接收机的工作特性，详细介绍了在各种误报率下的检测能力。最后，在介质背景上呈现低金属含量正对比的新图像。
The US Army Research Laboratory (ARL), as part of customer and mission-funded applied research programs, has been evaluating the use of low-frequency, ultra-wideband imaging radar to detect fields of buried mines. An instrumentation- grade measurement system has been designed and implemented by ARL. Four data collection campaigns in support of ground- penetrating radar objectives have led to the establishment of a significant and unique database of radar imagery. We are using these data to develop mine-detection algorithms that can aid an operator in separating mines from background clutter. This paper reviews recent findings and result from ARL's modeling, phenomenology, and algorithm development efforts. At SPIE '98, we reported on the performance of a physics-based mine-detection algorithm using data collected at Yuma Proving Ground (YPG) in January 1996. Subsequent measurements were made using the ARL BoomSAR at YPG in October 1997, January 1998, and June 1998. Most of the mines from the January 1996 experiment were still in place during the 1997/1998 experiments. Additional mines and unexploded ordnance were added to the YPG test after the January 1996 experiment. This paper discusses the difference in soil conditions from these data collections and the impact that may have on a mine's radar cross section (RCS) and detection performance. Detection results for M20 mines under different soil conditions will be shown. The detection algorithm invokes phenomenologically sound feature that exploit the expected mine RCS, texture, frequency dependent scattering, and model-based image correlation. Performance assessments, in terms of receiver operating characteristics, detail the detection capabilities at various false alarm rates. Finally, new imagery will be presented that shows the positive contrast of low metal content above dielectric background.