AMBIENT NOISE CORRELATION-BASED IMAGING WITH MOVING SENSORS

被引：2

作者：

Fink, Mathias ^{[1
,2
]}

Garnier, Josselin ^{[3
]}

机构：

[1] PSL Res Univ, Inst Langevin, ESPCI, 1 Rue Jussieu, F-75005 Paris, France

[2] PSL Res Univ, CNRS, 1 Rue Jussieu, F-75005 Paris, France

[3] Ecole Polytech, Ctr Math Appl, F-91128 Palaiseau, France

来源：

INVERSE PROBLEMS AND IMAGING | 2017年 / 11卷 / 03期

关键词：

Passing sensor imaging; correlation-based imaging; ambient noise sources; moving sensors; SEISMIC NOISE; CROSS-CORRELATIONS; TIME-REVERSAL; TOMOGRAPHY; SIGNALS;

D O I：

10.3934/ipi.2017022

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Waves can be used to probe and image an unknown medium. Passive imaging uses ambient noise sources to illuminate the medium. This paper considers passive imaging with moving sensors. The motivation is to generate large synthetic apertures, which should result in enhanced resolution. However Doppler effects and lack of reciprocity significantly affect the imaging process. This paper discusses the consequences in terms of resolution and it shows how to design appropriate imaging functions depending on the sensor trajectory and velocity.

引用

页码：477 / 500

页数：24

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