Results 161 to 170 of about 1,780 (204)
An eigenvector approach for inverse synthetic aperture radar (ISAR) motion compensation and imaging
Inverse synthetic aperture radar (ISAR) is a high resolution imaging radar. The image reconstruction of ISAR involves two steps; motion compensation and image formation. In this paper, an eigenvector approach is proposed to carry out ISAR motion compensation.
null Zhishun She, R.E. Bogner, D.A. Gray
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Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images
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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This paper will present the findings associated with data eclipsing effects in the inverse polar format algorithm (IPFA) for turntable spotlight inverse synthetic aperture radar (ISAR) imaging systems. Typical turntable ISAR systems illuminate a scene of interest with an electromagnetic source in order to obtain samples of the reflectivity function ...
Scott D. Fisher +2 more
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Novel scheme for inverse synthetic aperture radar (ISAR) imaging data compression
The 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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Superresolution inverse synthetic aperture radar (ISAR) imaging using compressive sampling
A 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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Distortion in the ISAR (inverse synthetic aperture radar) images from moving targets
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
S.K. Wong, G. Duff, E. Riseborough
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Autofocus for inverse synthetic aperture radar (ISAR) imaging by beamforming
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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Large distortion in ISAR images of a moving target has been investigated and demonstrated under controlled experiments. The distortion is a result of small time-varying perturbed motion experienced by the target and is attributed to a modulation effect in the phase of the radar return from the target.
S.K. Wong, G. Duff, E. Riseborough
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The use of entropy to focus inverse synthetic aperture radar (ISAR) images
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, L.C. Jain
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ISAR imaging of dynamic target is very significant in real applications. Plenty of available outcomes have been acquired by the scholars in the near years. Considering the accuracy and the computational complexity, the radar echo can be described as multicomponent QFM signal after envelope alignment with initial phase calibration.
Yong Wang, Aijun Liu, Qingxiang Zhang
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