The application of adaptive chirplet transform in target detection of GPR data

摘要：

GPR become an important method in UXO and landmine detection for it can detection both metal and non-metallic targets.But it is difficult to remove the cutter from surface reflection and target identification because of low SNR of GPR data.In this paper,we use the chirplet transform to rejection the clutter from the surface according to the characters,then pick up the signal of the UXO by the adaptive chirplet transform based on Radon-Wigner distribution.The result from the processing real GPR data shows the clutter can be rejected effectively and the targets response can be got with much higher SNR than that of migrated data.

关键词： GPR target detection and identification clutter rejection Chirplet transform

作者: Zhaofa Zeng Fengshan Liu Ling Huang Jiguang Sun Xianggen Xia

作者单位: Applied Mathematic Research Center, Delaware State University, Dover, DE 19901, USA Collage of Geo-e Applied Mathematic Research Center, Delaware State University, Dover, DE 19901, USA Collage of Geo-exploration Science and Technology, Jilin Unversity, Changchun 130026, China Collage of Electrical Engineering, University of Delaware, Newark, DE, 19716, USA

会议类型: 国际会议

会议名称: The 3rd International Conference on Environmental and Engineering Geophysics(第三届环境与工程地球物理国际会议)

会议地点: 武汉

会议语种:英文

页码: 298-302

在线出版日期: 2008-06-15（万方平台首次上网日期，不代表论文的发表时间）