Results 31 to 40 of about 50 (50)

NUFFT-based fast reconstruction for sparse microwave imaging

Journal of Electromagnetic Waves and Applications, 2012
Compressive sensing (CS) theory has been applied to sparse microwave imaging in many ways that provide better performance and significantly reduce the sampling rate. However, the computational complexity of reconstruction puts strict constraint on some practical applications with large-scale problems in radar imaging.
J.-H. Tian, J.-P. Sun, S.-T. Lu, Y.-P. Wang, W. Hong   +4 more
openaire   +1 more source

Three-Dimensional Sparse Turntable Microwave Imaging Based on Compressive Sensing

IEEE Geoscience and Remote Sensing Letters, 2015
In this letter, we propose a fast reconstruction algorithm for 3-D turntable microwave imaging from sparse measurements. A conventional Fourier-transform-based 3-D microwave imaging method collects data over densely azimuth–elevation samples and needs a large amount of data storage and long collection time.
Wei Qiu 0003, Jianxiong Zhou, HongZhong Zhao, Qiang Fu 0014   +3 more
openaire   +1 more source

Autofocus of sparse microwave imaging radar based on phase recovery

2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013), 2013
Sparse microwave imaging radar is a newly developed concept of microwave imaging, which introduces the sparse signal processing theory to traditional microwave imaging. As a combination of sparse signal processing theory and microwave imaging, the sparse microwave imaging is attracting people's interest for its several potential advantages including ...
Zhang Zhe, Zhao Yao, Jiang Chenglong, Zhang Bingchen, Hong Wen, Wu Yirong   +5 more
openaire   +1 more source

Exploiting wavelet decomposition to enhance sparse recovery in microwave imaging

2017 11th European Conference on Antennas and Propagation (EUCAP), 2017
Over the last years, various new non-invasive methodologies have been proposed for medical imaging. Among them, microwave imaging (MWI) seems to be a promising technique for applications such as stroke detection and breast cancer imaging (BCI). This diagnostic modality is based on measurements of the scattered field outside an imaging domain, in which ...
Ambrosanio, Michele, Kosmas, Panagiotis, Pascazio, Vito   +2 more
openaire   +3 more sources

Reconstruction techniques for sparse multistatic linear array microwave imaging

SPIE Proceedings, 2014
Sequentially-switched linear arrays are an enabling technology for a number of near-field microwave imaging applications. Electronically sequencing along the array axis followed by mechanical scanning along an orthogonal axis allows dense sampling of a two-dimensional aperture in near real-time.
David M. Sheen, Thomas E. Hall
openaire   +1 more source

A Microwave Coincidence Imaging Method for Complex Target Based on Sparse Representation

2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2020
Microwave coincidence imaging (MCI) has great potential in super-resolution imaging realms, which has achieved a superior performance for sparse targets. However, its performance for complex target will degrade severely due to the weak sparsity. In this paper, the sparse representation method is applied to MCI and a reconstruction-based imaging method ...
Kaicheng Cao, Yongqiang Cheng, Kang Liu, Jianqiu Wang, Hongqiang Wang   +4 more
openaire   +1 more source

Microwave three-dimensional imaging under sparse sampling based on MURA code

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
This paper utilizes Modified Uniformly Redundant Arrays (MURA) code as the criterion to realize sparse sampling in aperture plane, for the purpose of reducing bearing data storage. A geometry of microwave three-dimensional (3D) imaging is modeled, and the combination of ωK algorithm and Median Filter (MF) is adopted to achieve 3D image in the condition
He Tian, Daojing Li, Xuan Hu
openaire   +2 more sources

Implementation of GPU-based Iterative Shrinkage-thresholding Algorithm in sparse microwave imaging

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
In this paper, we present the implementation of Iterative Shrinkage-thresholding Algorithm (ISTA) based on Graphic processing unit (GPU) parallel computation for sparse microwave imaging. First we introduce the theory of sparse microwave imaging and the mathematical model of Lq-norm regularization.
Minming Geng, Ye Tian, Jian Fang, Bingchen Zhang, Yun Lin   +4 more
openaire   +2 more sources

3D quantitative microwave imaging from sparsely measured data with Huber regularization

SPIE Proceedings, 2014
Reconstructing complex permittivity profiles of dielectric objects from measurements of the microwave scattered field is a non-linear ill posed inverse problem. We analyze the performance of the Huber regularizer in the application, studying the influence of the parameters under different noise levels.
Funing Bai, Aleksandra Pizurica
openaire   +2 more sources

Microwave imaging with random sparse array and compressed sensing for target detection

2015 IEEE International Conference on Computational Electromagnetics, 2015
This paper presents a study of Synthetic Aperture Radar (SAR) imaging based on random sparse array (RSA) and compressed sensing (CS) for target detection. Extensive numerical experiments based on real RSA measurement data are carried out and statistical analysis is performed to compare the performances of the CS technique and back-projection (BP ...
Ling Huang, Yilong Lu
openaire   +1 more source