Impulse Borehole Radar Imaging Based on Compressive Sensing

Author

Haining Yang ; Tingjun Li ; Zhiming He ; Qing Huo Liu

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

12

Issue

4

fYear

2015

fDate

Apr-15

Firstpage

766

Lastpage

770

Abstract

A novel data acquisition and imaging method based on compressive sensing is utilized for impulse borehole radar (IBR). With the sparse transform that we present for IBR systems, only 50% or even less samples are needed to be collected and transmitted to reconstruct the target space, which reduces the sampling rate and data transmission rate of IBR systems. The simulation and experiment results show that the proposed method is more robust in noise environment and the reconstructed target spaces have less artifacts compared with the solutions of the traditional Stolt migration method.

Keywords

compressed sensing; geophysical techniques; radar imaging; remote sensing by radar; IBR systems; compressive sensing; data transmission rate; imaging method; impulse borehole radar imaging; noise environment; novel data acquisition; reconstructed target spaces; traditional Stolt migration method; Compressed sensing; Image reconstruction; Imaging; Radar imaging; Signal to noise ratio; Transforms; Borehole radar; compressive sensing (CS); radar imaging; sparse transform; subsurface sensing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2014.2361313

Filename

6936283