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InSAR data for detection and modelling of overexploitation-induced subsidence: application in the industrial area of Prato (Italy). [PDF]
Medici C+10 more
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Time-variant parity-time symmetry in frequency-scanning systems. [PDF]
Li M+9 more
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Motion Clutter Suppression for Non-Cooperative Target Identification Based on Frequency Correlation Dual-SVD Reconstruction. [PDF]
He W, Luo Y, Shang X.
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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
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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, 2021There 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
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Inverse Synthetic Aperture Radar Imaging and Its Basic Concepts
Algorithms, 2022Inverse 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 ...
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Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging
IEEE Transactions on Image Processing, 2020The 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
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Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network
IEEE Geoscience and Remote Sensing Letters, 2020The 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
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