Adaptive Detection of Low-Signature Targets in Forward-Looking GPR Imagery

被引：24
|
作者：
Comite, D. [1 ]
Ahmad, F. [2 ]
Dogaru, T. [3 ]
Amin, M. G. [4 ]
机构：
[1] Sapienza Univ Rome, Dept Informat Engn Elect & Telecommun, I-00185 Rome, Italy
[2] Temple Univ, Dept Elect & Comp Engn, Philadelphia, PA 19122 USA
[3] US Army Res Lab, Sensors & Electron Devices Directorate, Adelphi, MD 20783 USA
[4] Villanova Univ, Ctr Adv Commun, Villanova, PA 19085 USA
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2018年 / 15卷 / 10期
关键词：
Adaptive detection; forward-looking GPR (FL-GPR); microwave imaging; microwave tomography; terrain clutter; GROUND-PENETRATING RADAR; SCATTERING;
D O I：
10.1109/LGRS.2018.2852684
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
We present an image-domain adaptive likelihood ratio tests (LRT) detector for low-signature target detection in forward-looking ground-penetrating radar. We exploit multiview tomographic images of the scene under investigation to iteratively adapt the statistics of the targets and clutter arising from the interface roughness. Using numerical electromagnetic data, it is shown that the proposed adaptive LRT detector provides significantly lower false-alarm rates compared with its nonadaptive counterpart while providing comparable detection performance.
引用
收藏
页码：1520 / 1524
页数：5
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