Multifrequency Bayesian compressive sensing methods for microwave imaging

被引：25

作者：

Poli, Lorenzo ^{[1
]}

Oliveri, Giacomo ^{[1
]}

Ding, Ping Ping ^{[2
]}

Moriyama, Toshifumi ^{[3
]}

Massa, Andrea ^{[1
]}

机构：

[1] Univ Trento, Dept Informat Engn & Comp Sci, ELEDIA Res Ctr, I-38123 Trento, Italy

[2] Univ Paris Sud, CNRS, SUPELEC, L2S, F-91192 Gif Sur Yvette, France

[3] Nagasaki Univ, Dept Elect & Elect Engn, Nagasaki 8528521, Japan

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2014年 / 31卷 / 11期

关键词：

INVERSE SCATTERING PROBLEMS; SHAPE RECONSTRUCTION; BURIED OBJECTS; ARRAYS;

D O I：

10.1364/JOSAA.31.002415

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The Bayesian retrieval of sparse scatterers under multifrequency transverse magnetic illuminations is addressed. Two innovative imaging strategies are formulated to process the spectral content of microwave scattering data according to either a frequency-hopping multistep scheme or a multifrequency one-shot scheme. To solve the associated inverse problems, customized implementations of single-task and multitask Bayesian compressive sensing are introduced. A set of representative numerical results is discussed to assess the effectiveness and the robustness against the noise of the proposed techniques also in comparison with some state-of-the-art deterministic strategies. (C) 2014 Optical Society of America

引用

页码：2415 / 2428

页数：14

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