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Compressive Imaging in Radio Interferometry

射电干涉测量中的压缩成像

基本信息

批准号：
EP/M008843/1
负责人：
Yves Wiaux
金额：
$ 77.18万
依托单位：
Heriot-Watt University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2015
资助国家：
英国
起止时间：
2015 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FM008843%2F1
关键词：
Compressive Imaging Radio Interferometry

项目摘要

The project "Compressive Imaging in Radio Interferometry" (CIRI) aims to bring new advances for interferometric imaging with next-generation radio telescopes, together with theoretical and algorithmic evolutions in generic compressive imaging.Radio Interferometry (RI) allows observations of the sky at otherwise inaccessible angular resolutions and sensitivities, providing unique information for astrophysics and cosmology. New telescopes are being designed, such as the Square Kilometer Array (SKA), whose science goals range from astrobiology and strong field gravity, to the probe of early epochs in the Universe when the first stars formed. These instruments will target orders of magnitudes of improvement in resolution and sensitivity. In this context, they will have to cope with extremely large data sets. Associated imaging techniques thus literally need to be re-invented over the next few years.The emerging theory of compressive sampling (CS) represents a significant evolution in sampling theory. It demonstrates that signals with sparse representations may be recovered from sub-Nyquist sampling through adequate iterative algorithms. CIRI will build on the theoretical and algorithmic versatility of CS and leverage new advanced sparsity and sampling concepts to define, from acquisition to reconstruction, next-generation CS techniques for ultra-high resolution wide-band RI imaging and calibration techniques. The new techniques, and the associated fast algorithms capable of handling extremely large data sets on multi-core computing architectures, will be validated on simulated and real data.Astronomical imaging is not only a target, but also an essential means to trigger novel generic developments in signal processing. CIRI indeed aims to provide significant advances for compressive imaging thereby reinforcing the CS revolution, which finds applications all over science and technology, in particular in biomedical imaging.CIRI is thus expected to impact science, economy, and society by developing new imaging technologies essential to support forthcoming challenges in astronomy, and by delivering a new class of compressive imaging algorithms that can in turn be transferred to many applications, starting with biomedical imaging.

“射电干涉测量中的压缩成像”项目（CIRI）旨在利用下一代射电望远镜带来干涉成像的新进展，以及通用压缩成像的理论和算法演变。射电干涉测量（RI）允许以其他方式无法达到的角分辨率和灵敏度观测天空，为天体物理学和宇宙学提供独特的信息。正在设计新的望远镜，如平方公里阵列（SKA），其科学目标包括天体生物学和强场引力，以及第一批恒星形成时宇宙早期的探测。这些仪器的目标将是在分辨率和灵敏度方面有几个数量级的改进。在这方面，它们将不得不科普极其庞大的数据集。因此，相关的成像技术确实需要在未来几年内重新发明。压缩采样（CS）的新兴理论代表了采样理论的重大发展。它表明，稀疏表示的信号可以恢复从欠奈奎斯特采样，通过适当的迭代算法。CIRI将建立在CS的理论和算法通用性的基础上，并利用新的先进稀疏性和采样概念来定义从采集到重建的下一代CS技术，用于超高分辨率宽带RI成像和校准技术。这些新技术以及能够在多核计算架构上处理超大数据集的相关快速算法将在模拟和真实的数据上得到验证。天文成像不仅是一个目标，而且是引发信号处理领域新的通用发展的重要手段。CIRI确实旨在为压缩成像提供重大进展，从而加强CS革命，其应用遍及科学和技术，特别是在生物医学成像中。因此，CIRI有望通过开发新的成像技术来支持天文学即将到来的挑战，从而影响科学，经济和社会。并通过提供一类新的压缩成像算法，这些算法又可以转移到许多应用中，从生物医学成像开始。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Physical Model of Nonstationary Blur in Ultrasound Imaging

超声成像中非平稳模糊的物理模型

DOI：
10.1109/tci.2019.2897951
发表时间：
2019
期刊：
IEEE Transactions on Computational Imaging
影响因子：
5.4
作者：
Besson A
通讯作者：
Besson A

A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging

DOI：
10.1109/tuffc.2016.2614996
发表时间：
2016-10
期刊：
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
影响因子：
0
作者：
Adrien Besson;Miaomiao Zhang;F. Varray;H. Liebgott;D. Friboulet;Y. Wiaux;J. Thiran;R. Carrillo;O. Bernard
通讯作者：
Adrien Besson;Miaomiao Zhang;F. Varray;H. Liebgott;D. Friboulet;Y. Wiaux;J. Thiran;R. Carrillo;O. Bernard

Pulse-Stream Models in Time-of-Flight Imaging

飞行时间成像中的脉冲流模型