Results 201 to 210 of about 20,927 (220)

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
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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
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Study on sparse microwave imaging

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011
Sparse signal processing is introduced to microwave imaging technology, which forms a new theory, new system and new methodology in microwave imaging. Defined as sparse microwave imaging, it means that by the sparse domain representation of the observed object, the sparse microwave signal is acquired by sparse sampling in space or time domain.
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Microwave imaging of dielectric targets using higher-order sparse processing

2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2017
We consider the application of multipole based dictionaries, used in the sparse processing framework, for microwave imaging of complex-shaped dielectric targets. We investigate the influence of different subarray configurations on the imaging accuracy. In addition, we examine the images obtained using multipoles of different orders from the prospective
Marija Nikolic Stevanovic, Nebojsa Vojnovic, Antonije Djordjevic, Dragan Olcan, Arye Nehorai   +4 more
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Signal Processing for Microwave Array Imaging: TDC and Sparse Recovery

IEEE Transactions on Geoscience and Remote Sensing, 2012
Unlike 1-D and 2-D microwave images, 3-D microwave image behaves typical sparsity. Consequently, sparse recovery technique can be used for 3-D microwave signal processing. Three popular signal processing techniques, the time-domain correlation method (TDC), pseudo-inverse method (PI), and compressed sensing method (CS), are discussed in this paper.
Shi Jun, Zhang Xiaoling, Xiang Gao, Jianyu Jianyu   +3 more
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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.
null Wei Qiu, null Jianxiong Zhou, null Hongzhong Zhao, null Qiang Fu   +3 more
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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
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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
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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 Pižurica
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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