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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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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.
Ehsan Sheybani, Giti Javidi
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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.
Pehlaj Gacheria +3 more
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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 ...
Ram M. Narayanan, Zhixi Li
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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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An Efficient Basis for Decomposition of Cavity Returns in Inverse Synthetic Aperture Radar (ISAR) Measurements Using Basis Pursuit [PDF]
2019 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2019 We recently described a technique called basis pursuit dictionary editing (BDPE) that uses L1 minimization techniques to remove contamination from ISAR measurements and imagery of rotating targets [1]. While our original BPDE technique works well when the target scattering is dominated by literal (non-interacting) returns, non-literal target scattering,
Mark Hawks +2 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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The use of entropy to focus inverse synthetic aperture radar (ISAR) images
Proceedings Electronic Technology Directions to the Year 2000, 2002Inverse synthetic aperture radar (ISAR) images generated of targets which have a large angle of rotation or non-linear rotational motion are blurred if the rotational motion is not taken into account. If the rotational motion is known, the data can be corrected by resampling from the polar grid on which the data is collected, to a rectangular grid.
L.C. Jain, Y. Mohan-Ram
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Distortion in the ISAR (inverse synthetic aperture radar) images from moving targets
2004 International Conference on Image Processing, 2004. ICIP '04., 2005A physics-based numerical model has been developed to model the formation of severe distortion that is observed in ISAR images from moving targets. When a target possesses a small time-varying perturbed motion, a modulation effect is introduced in the phase of the radar return from the target. As a result, a broad smearing appears in the cross-range of
S.K. Wong, G. Duff, E. Riseborough
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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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