Results 201 to 210 of about 21,138 (215)

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

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   +1 more source

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   +1 more source

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

Microwave Staring Correlated Imaging for Maneuvering Target Based on Sparse Bayesian Learning

2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), 2020
Microwave staring correlated imaging (MSCI) is a novel super-resolution radar imaging technique based on temporal-spatial stochastic radiation field without the limitation of relative motion between the target and radar systems. A high-speed maneuvering target can be regarded as a moving target with constant acceleration in a short observation period ...
Ying Yang, Bo Yuan, Guanghua Lu, Yuanyue Guo   +3 more
openaire   +1 more source

MDLI-Net: Model-Driven Learning Imaging Network for High-Resolution Microwave Imaging With Large Rotating Angle and Sparse Sampling

IEEE Transactions on Geoscience and Remote Sensing, 2022
Xiaowei Hu, Feng Xu, Yiduo Guo
exaly  

The Imaging Approach of Sparse Interferometry to Microwave Radiation

IEICE Proceeding Series, 2013
Yuanyuan, Liu, Suhua, Chen, Lu, Zhu
openaire   +1 more source

Off-Grid Error and Amplitude–Phase Drift Calibration for Computational Microwave Imaging With Metasurface Aperture Based on Sparse Bayesian Learning

IEEE Transactions on Geoscience and Remote Sensing, 2022
Fengzhou Dai, Haosheng Fu, Ling Hong
exaly  

Influence factors of sparse microwave imaging radar system performance: approaches to waveform design and platform motion analysis

Science China Information Sciences, 2012
Bingchen Zhang, Chenglong Jiang, Wen Hong   +2 more
exaly