Results 161 to 170 of about 2,457,520 (174)

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

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

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
Arye Nehorai, Marija Nikolić, Nebojsa Vojnović   +2 more
exaly   +2 more sources

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
Jin Yaqiu, Weike Feng, 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
Ling Hong, Long Li, Fengzhou Dai
exaly  

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

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

Metasurface Tiles on Conformable Origami Platforms for Adaptive and Sparse Computational Microwave Imaging

2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), 2023
Suresh Venkatesh, Xuyang Lu, Daniel Sturm, Kaushik Sengupta, Robert J. Lang   +4 more
openaire   +1 more source

Microwave Imaging of Nonsparse Domains Using Born Iterative Method With Wavelet Transform and Block Sparse Bayesian Learning

IEEE Transactions on Antennas and Propagation, 2015
Amin Abbosh, Lei Guo
exaly