Study of Background Subtraction for Ground Penetrating Radar

被引：0

作者：

Sharma, Prabhat ^{[1
]}

Gaba, S. P. ^{[1
]}

Singh, Dharmendra ^{[2
]}

机构：

[1] Instrument Res & Dev Estab, Raipur Dehradun, Uttarakhand, India

[2] Indian Inst Technol Roorkee, Elect & Commun Engn, Roorkee, Uttarakhand, India

来源：

2015 NATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS & COMPUTER ENGINEERING (RAECE) | 2015年

关键词：

GPR; SVD; PCA; ICA; Training method; PSNR; GIP; GLR;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, study of various background subtraction or ground bounce removal methods for GPR or for subsurface utility mappinghas been performed. Mean, median, SVD, PCA, ICA and Training methods have been evaluated and tested onnumber of GPR data sets collected with a horn antenna for variety of nonlinear rough surfaces and for various soil moisture contents. A performance evaluation criterion for analyzing the different algorithms has been introduced. Each algorithmrelative benefits and drawbacks has been determined. In preprocessing stage, GPR imaging influence by the various ground bounce removal techniques. Based on this dependency, variety of ground surfaces have been analyzed by indeginousiely developed GPR unit and collected data for bare rough ground surface

引用

页码：101 / 105

页数：5

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