Results 191 to 200 of about 195,296 (230)
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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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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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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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Optical Fiber Communications Conference and Exhibition, 2018
We demonstrate a photonics-based Ka-band radar system with 12 GHz bandwidth by optical signal generation and de-chirp processing. Inverse synthetic aperture radar imaging with a range resolution as high as ∼1.3 cm high-resolution is achieved.
Yao Yao+5 more
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We demonstrate a photonics-based Ka-band radar system with 12 GHz bandwidth by optical signal generation and de-chirp processing. Inverse synthetic aperture radar imaging with a range resolution as high as ∼1.3 cm high-resolution is achieved.
Yao Yao+5 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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Inverse synthetic aperture radar imaging exploiting dictionary learning
International Radar Conference, 2018We consider the Inverse synthetic aperture radar (ISAR) imaging with under-sampled data in the framework of compressive sensing (CS) theory. In the existing studies of CS based ISAR imaging or sparse ISAR imaging, the scene to be imaged is simply assumed
Changyu Hu, Ling Wang, O. Loffeld
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Pattern-Coupled Sparse Bayesian Learning for Inverse Synthetic Aperture Radar Imaging
IEEE Signal Processing Letters, 2015We propose a pattern-coupled sparse Bayesian learning method for inverse synthetic aperture radar (ISAR) imaging by exploiting a block-sparse structure inherent in ISAR target images.
Huiping Duan+4 more
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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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High-Resolution Inverse Synthetic Aperture Radar Imaging and Scaling With Sparse Aperture
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015In high-resolution radar imaging, the rotational motion of targets generally produces migration through resolution cells (MTRC) in inverse synthetic aperture radar (ISAR) images.
Gang Xu+5 more
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Inverse Synthetic Aperture Radar Imaging: Principles, algorithms and applications
, 2014Based on the authors' 20 years' research work on Inverse Synthetic Aperture Radar (ISAR) imaging of moving targets and non-cooperative target recognition, this book provides readers with knowledge of various algorithms of ISAR imaging of targets and ...
V. Chen, M. Martorella
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