Results 221 to 230 of about 199,781 (299)

InSAR data for detection and modelling of overexploitation-induced subsidence: application in the industrial area of Prato (Italy). [PDF]

open access: yesSci Rep
Medici C   +10 more
europepmc   +1 more source

Time-variant parity-time symmetry in frequency-scanning systems. [PDF]

open access: yesNat Commun
Li M   +9 more
europepmc   +1 more source

Nearfield Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar for High-Resolution Imaging of Large Objects

European Radar Conference, 2023
The inverse synthetic aperture radar (ISAR) principle is utilized in combination with a multiple-input multiple-output (MIMO) radar imaging system in order to generate high-resolution images of large objects.
Marius Brinkmann   +2 more
semanticscholar   +1 more source

Sparse Inverse Synthetic Aperture Radar Imaging Using Structured Low-Rank Method

IEEE Transactions on Geoscience and Remote Sensing, 2021
There has been an increasing interest in addressing the issue of high-resolution inverse synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed sensing (CS) and matrix completion (MC) methods are based on sparse and low-
Gang Xu   +5 more
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging and Its Basic Concepts

Algorithms, 2022
Inverse Synthetic Aperture Radar Imaging of the Ex-USS Hull Using Spectral Estimation TechniquesInverse Synthetic Aperture Radar Imaging With MATLAB AlgorithmsSynthetic Aperture Radar Signal Processing with MATLAB AlgorithmsUnderstanding Synthetic ...

semanticscholar   +1 more source

Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging

IEEE Transactions on Image Processing, 2020
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with sparse sampling data has attracted wide attention due to its ability to reduce the data collection burden.
Wei Qiu, Jianxiong Zhou, Q. Fu
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network

IEEE Geoscience and Remote Sensing Letters, 2020
The traditional inverse synthetic aperture radar (ISAR) imaging uses the range-Doppler (RD) type of methods. The compressive sensing (CS)-based ISAR imaging is capable of obtaining good target images of high contrast and less sidelobe with much less ...
Changyu Hu, Ling Wang, Ze Li, Daiyin Zhu
semanticscholar   +1 more source

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