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Calibration of Linear Time-Varying Frequency Errors for Distributed ISAR Imaging Based on the Entropy Minimization Principle. [PDF]

Sensors (Basel), 2019
Kang H, Li J, Zhao H, Bao Z, Yu Z.
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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), 2020
We 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.
Stuti Ahuja
exaly   +2 more sources

Review of Inverse Synthetic Aperture Radar (ISAR), Polarimetric ISAR Imaging and Interpretation

2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2023
Caner Özdemir
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Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming

Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197), 2002
Autofocus is critical for inverse synthetic aperture radar (ISAR) imaging. This paper develops two new approaches of autofocus for ISAR imaging based on beamforming. The ISAR observation model is established and the proposed approaches are described in detail.
null Zhishun She, R.E. Bogner, D.A. Gray
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Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images

35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006
Although techniques for resolution enhancement in single-aspect radar imaging have made rapid progress in recent years, it does not necessarily imply that such enhanced images will improve target identification or recognition. However, when multiple looks of the same target from different aspects are obtained, the available knowledge base increases ...
Zhixi Li, Ram M. Narayanan
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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., 2005
A 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
Silvester K. Wong, G. Duff, E. Riseborough   +2 more
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The use of entropy to focus inverse synthetic aperture radar (ISAR) images

Proceedings Electronic Technology Directions to the Year 2000, 2002
Inverse 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.
Y. Mohan-Ram, Lakhmi C. Jain
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Cross-band Inverse Synthetic Aperture Radar (ISAR) Image Fusion

2007 International Symposium on Signals, Systems and Electronics, 2007
Research 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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