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

IEEE Geoscience and Remote Sensing Letters(2018)

引用 25|浏览10
暂无评分
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 adap...
更多
查看译文
关键词
Clutter,Detectors,Light rail systems,Tomography,Rough surfaces,Surface roughness,Position measurement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要