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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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Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images
IEEE Transactions on Intelligent Vehicles, 2021Traditionally, 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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Cross-band Inverse Synthetic Aperture Radar (ISAR) Image Fusion
2007 International Symposium on Signals, Systems and Electronics, 2007Research on image fusion is making rapid progress recently, because multiple looks of the same target from different aspects will increase the available knowledge and allow more useful target information to be extracted. Studying on the physical principle of constructing radar images, especially inverse synthetic aperture radar (ISAR) images, make the ...
Zhixi Li, Ram M. Narayanan
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Data Visualization for Low-Frequency Inverse Synthetic Aperture Radar (ISAR)
International Journal of Interdisciplinary Telecommunications and Networking, 2018The purpose of this article was to use ISAR to determine the distance between the receiving antenna and the transmitting antenna. Once a systematic approach has been determined, this article could be used on a spacecraft to locate debris in the path of the carrier.
Giti Javidi, Ehsan Sheybani
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Superresolution inverse synthetic aperture radar (ISAR) imaging using compressive sampling
SPIE Proceedings, 2010A method based on compressive sampling to achieve superresolution in ISAR imaging is presented. The superresolution ISAR imaging algorithm is implemented by enforcing the sparsity constraints via random compressive sampling of the measured data. Sparsity constraint ratio (SCR) is used as a design parameter. Mutual coherence is used as a quantitative
Suman K. Gunnala, Saibun Tjuatja
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Novel scheme for inverse synthetic aperture radar (ISAR) imaging data compression
2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002The characteristics of the inverse synthetic aperture radar (ISAR) imaging data are fully analyzed from the view of complex image compression and the corresponding compressing method, Compression of AMplitude and Phase (CAMP) scheme for the phase history data, is proposed and verified by the real ISAR data.
null Lu Guangyue, null Shao Chao
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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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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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