Results 221 to 230 of about 83,251 (291)
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IEEE Transactions on Geoscience and Remote Sensing, 2019
This paper proposes a novel approach to interpreting the satellite attitude based on inverse synthetic aperture radar (ISAR) images. In the conventional viewpoint, quadratic and higher order phase terms of ISAR imagery are regarded as negative factors ...
Yejian Zhou, Lei Zhang, Yunhe Cao
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This paper proposes a novel approach to interpreting the satellite attitude based on inverse synthetic aperture radar (ISAR) images. In the conventional viewpoint, quadratic and higher order phase terms of ISAR imagery are regarded as negative factors ...
Yejian Zhou, Lei Zhang, Yunhe Cao
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An Inverse Synthetic Aperture Radar Image Modulation Method Based on Coding Phase-Switched Screen
IEEE Sensors Journal, 2019Multiple false target images deception is an effective strategy to protect vital military targets from detection and recognition by inverse synthetic aperture radar (ISAR).
Junjie Wang +4 more
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Bayesian Inverse Synthetic Aperture Radar Imaging
IEEE Geoscience and Remote Sensing Letters, 2011In this letter, a novel algorithm of inverse synthetic aperture radar (ISAR) imaging based on Bayesian estimation is proposed, wherein the ISAR imaging joint with phase adjustment is mathematically transferred into signal reconstruction via maximum a posteriori estimation.
Gang Xu +4 more
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Resolution enhancement for inverse synthetic aperture radar images using a deep residual network
Microwave and optical technology letters (Print), 2019A framework for inverse synthetic aperture radar (ISAR) image resolution enhancement using a deep residual network is proposed. Our framework directly learns an end‐to‐end mapping in the form of a deep residual network (ResNet) between the input low ...
Xunzhang Gao, Dan Qin, Jingkun Gao
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Bistatic inverse synthetic aperture radar imaging
IEEE International Radar Conference, 2005., 2005The use of a monostatic radar configuration limits the ability of an inverse synthetic aperture radar (ISAR) system to image targets in certain geometries. By employing bistatic geometries this limitation may be overcome. Bistatic radar systems will pay a great role in the coming decade since a large number of radar missions are being foreseen.
null Zhenbo Zhu +2 more
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3-D Interferometric Inverse Synthetic Aperture Radar Imaging of Ship Target With Complex Motion
IEEE Transactions on Geoscience and Remote Sensing, 2018A novel algorithm for 3-D interferometric inverse synthetic aperture radar (InISAR) imaging of ship target with complex motion via orthogonal double baseline is presented.
Yong Wang, Xuefei Chen
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A system model and inversion for synthetic aperture radar imaging
International Conference on Acoustics, Speech, and Signal Processing, 1992A system model and its corresponding inversion for synthetic aperture radar (SAR) imaging are presented. The system model incorporates the spherical nature of a radar's radiation pattern at far field. The inverse method based on this model performs a spatial Fourier transform (Doppler processing) on the recorded signals with respect to the available ...
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A new autofocus method for inverse synthetic aperture radar
Science in China Series E: Technological Sciences, 1997Motion compensation is a key and difficult step in inverse synthetic aperture radar (ISAR) . The calibration of initial phase errors, which is well known as autofocus, requires very high precision, so it determines the quality of the reconstructed image to a great extent.
Wei Ye, Zheng Bao
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Autofocusing of (inverse) synthetic aperture radar for motion compensation
Proceedings of the IEEE 1996 National Aerospace and Electronics Conference NAECON 1996, 2002Ground imaging from an airborne synthetic aperture radar (SAR) and conversely aircraft imaging from a ground based radar (ISAR) require the knowledge of the motion of the antenna relative to the target, with an accuracy of a fraction of the wavelength upon a time span of seconds.
H.M.J. Cantalloube, C.E. Nahum
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Inverse Synthetic Aperture Radar Imaging Using a Deep ADMM Network
International Radar Symposium, 2019In the past decade, the compressive sensing (CS) based ISAR imaging methods have gained much interest due to the capability of obtaining high-quality images with under-sampled data.
Changyu Hu +4 more
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