Compressive sensing for interferometric inverse synthetic aperture radar applications

被引：17
|
作者：
Bacci, Alessio [1 ,2 ]
Stagliano, Daniele [1 ,2 ]
Giusti, Elisa [2 ]
Tomei, Sonia [1 ,2 ]
Berizzi, Fabrizio [1 ,2 ]
Martorella, Marco [1 ,2 ]
机构：
[1] Univ Pisa, Dept Informat Engn, Pisa, Italy
[2] CNIT Radar & Surveillance Syst RaSS Natl Lab, Pisa, Italy
来源：
IET RADAR SONAR AND NAVIGATION | 2016年 / 10卷 / 08期
关键词：
GENERALIZED ISAR; 3D;
D O I：
10.1049/iet-rsn.2015.0563
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The applicability of interferometric inverse synthetic aperture radar (InISAR) techniques to images reconstructed via compressive sensing (CS)-based algorithms is investigated. Specifically, the three-dimensional (3D) reconstruction algorithm is applied after exploiting CS for data compression and image reconstruction. The InISAR signal model is derived and formalised in a CS framework. A comparison between conventional CS reconstruction and global sparsity constrained reconstruction techniques is performed for different compression rates and different signal-to-noise ratio conditions. Performances on the 2D and 3D reconstructions are evaluated. Results obtained on real data acquired during the NATO-SET 196 trial are shown.
引用
收藏
页码：1446 / 1457
页数：12
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