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Non-Stationary Platform Inverse Synthetic Aperture Radar Maneuvering Target Imaging Based on Phase Retrieval. [PDF]
Shi H, Xia S, Qin Q, Yang T, Qiao Z.
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Review of Inverse Synthetic Aperture Radar (ISAR), Polarimetric ISAR Imaging and Interpretation
2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2023In this work, a brief but a complete review of Inverse Synthetic Aperture Radar (ISAR) imaging theory is given and the usage of polarimetric imaging concepts in ISAR imaging is shared.
Caner Ă–zdemir
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IEEE Transactions on Aerospace and Electronic Systems, 2023
When the inverse synthetic aperture radar (ISAR) system has sparse-aperture (SA) dataset along the cross-range axis, it can blur the ISAR image of target having complex motion.
Kyung-Min Lee +2 more
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When the inverse synthetic aperture radar (ISAR) system has sparse-aperture (SA) dataset along the cross-range axis, it can blur the ISAR image of target having complex motion.
Kyung-Min Lee +2 more
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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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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
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Inverse Synthetic-Aperture Radar(ISAR) Images Recognition Using Deep Learning
2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2020We propose a method to recognize and classify inverse synthetic-aperture radar (ISAR) images of a target. The information that is combined from various image frames, it is generally in the context of time-averaging to remove statistically atomic noise shifts in the images.
Abhishek Avadhani +3 more
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IEEE International Geoscience and Remote Sensing Symposium, 2022
High-resolution imaging of the corner-hidden moving target makes tremendous sense in the fields of urban sensing and autonomous driving. In this paper, a joint No-line-of-sight (NLOS) model and inverse synthetic aperture radar (ISAR) imaging method are ...
Yanbo Wen +5 more
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High-resolution imaging of the corner-hidden moving target makes tremendous sense in the fields of urban sensing and autonomous driving. In this paper, a joint No-line-of-sight (NLOS) model and inverse synthetic aperture radar (ISAR) imaging method are ...
Yanbo Wen +5 more
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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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