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Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images [PDF]
arXiv, 2021 Traditionally, point cloud representations or Doppler spectrograms have been generated from short-range automotive radars for dynamic object detection and classification.
Neeraj Pandey, S. S. Ram
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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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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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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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Database Of Simulated Inverse Synthetic Aperture Radar Images For Short Range Automotive Radar
Radar, 2020Inverse synthetic aperture radar (ISAR) images of dynamic targets have been used for automatic target recognition purposes. Limited experimental data of ISAR images of automotive targets are currently available to the radar community.
Neeraj Pandey, Gaurav Duggal, S. S. Ram
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Review of High-resolution Imaging Techniques of Wideband Inverse Synthetic Aperture Radar
, 2020At present, the emphasis of Inverse Synthetic Aperture Radar (ISAR) systems on the characteristics of high carrier frequency, wide bandwidth, multi-polarization capability, distribution, and networking has led to the development and progress of ISAR ...
Tian Biao +5 more
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Inverse Synthetic Aperture Radar Imaging Using Fourier Transform Technique
2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 2019Inverse Synthetic Aperture Radar (ISAR) imaging techniques are used to estimate the target spatial image using target backscatter data. In the ISAR measurement environment, the target is often modeled as a collection of point scatterers to take advantage
Priyanka Shakya, A. B. Bazil Raj
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