Results 11 to 20 of about 48,172 (166)
Current Developments of Sparse Microwave Imaging
Leida xuebao, 2014 The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging.
Wu Yi-rong +5 more
doaj +1 more source
Microwave Imaging by Elastic Deformation [PDF]
SIAM Journal on Applied Mathematics, 2011 In this paper, we show that by using microwave measurements at different frequencies and ultrasound localized perturbations to create local changes in the medium it is possible to extend the method developed by Ammari et al. in [SIAM J. Appl. Math., 68 (2008), pp.
Habib Ammari +4 more
openaire +2 more sources
Leida xuebao, 2016 Sparse microwave imaging is new concept, theory and methodology of microwave imaging, which introduces the sparse signal processing theory to microwave imaging and combines them together to overcome the paradox of increasing system complexity and imaging
Zhang Zhe +3 more
doaj +1 more source
RIPless Based Radar Waveform Analysis in Sparse Microwave Imaging
Leida xuebao, 2013 The echo data can be modeled as the product of the Toeplitz matrix and reflectivity of the observed scene. The row of the Toeplitz matrix is the time-shift of the transmitted signal.
Zhao Yao +3 more
doaj +1 more source
Towards microwave imaging of cells [PDF]
Lab on a Chip, 2018 We have simultaneously used the first two modes of a microwave resonant sensor integrated with microfluidics to size and locate droplets and cells. Higher-order modes can yield further spatial details of cells.
Mehmet Kelleci +4 more
openaire +3 more sources
Scattering-Point Topology for Few-Shot Ship Classification in SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Synthetic aperture radar (SAR) has emerged as a critical technology for detecting and classifying objects, such as ships, in challenging environments.
Yipeng Zhang +3 more
doaj +1 more source
Microwave Imaging of Cotton Bales [PDF]
Sensors, 2008 Modern moisture restoration systems are increasingly capable of adding water to cotton bales. However, research has identified large variations in internal moisture within bales that are not readily monitored by current systems. While microwave moisture sensing systems can measure average bale moisture, this can be deceptive where water is unevenly ...
Mathew G. Pelletier, Edward M. Barnes
openaire +3 more sources
Multifeature Fusion Neural Network for Oceanic Phenomena Detection in SAR Images
Sensors, 2019 Oceanic phenomena detection in synthetic aperture radar (SAR) images is important in the fields of fishery, military, and oceanography. The traditional detection methods of oceanic phenomena in SAR images are based on handcrafted features and detection ...
Zhuofan Yan +5 more
doaj +1 more source
Computational polarimetric microwave imaging
Optics Express, 2017 We propose a polarimetric microwave imaging technique that exploits recent advances in computational imaging. We utilize a frequency-diverse cavity-backed metasurface, allowing us to demonstrate high-resolution polarimetric imaging using a single transceiver and frequency sweep over the operational microwave bandwidth. The frequency-diverse metasurface
Fromenteze, Thomas +5 more
openaire +4 more sources
Surface Estimation for Microwave Imaging [PDF]
Sensors, 2017 Biomedical imaging and sensing applications in many scenarios demand accurate surface estimation from a sparse set of noisy measurements. These measurements may arise from a variety of sensing modalities, including laser or electromagnetic samples of an object’s surface.
Douglas J. Kurrant +2 more
openaire +3 more sources