Sparsity-based Image Reconstruction Techniques for ISAR Imaging

被引：0

作者：

Raj, Raghu G. ^{[1
]}

Lipps, Ronald ^{[1
]}

Bottoms, A. Maitland ^{[1
]}

机构：

[1] US Naval Res Lab, Washington, DC 20375 USA

来源：

2014 IEEE RADAR CONFERENCE | 2014年

关键词：

ISAR; Imaging; Sparsity; Motion Compensation; Compressive Sensing;

D O I：

暂无

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：

We present novel techniques for ISAR imaging via a Sparsity-based image reconstruction methodology. The latter offer a distinct advantage of Fourier based reconstruction techniques by offering the flexibility of using different basis functions to represent the underlying scene structure being imaged. We derive our ISAR algorithm in detail and present experimental results on real ISAR data showing its superiority over traditional Fourier based image reconstruction. We also demonstrate how our formulation of the ISAR imaging problem overcomes some of limitations associated previous approaches to CS (Compressive Sensing) based ISAR imaging in the literature.

引用

页码：974 / 979

页数：6

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