Results 31 to 40 of about 18,633 (206)
Sparse aperture wide-angle inverse synthetic aperture radar imaging based on compressive sensing
The Journal of Engineering, 2019 In high-resolution inverse synthetic aperture radar (ISAR) imaging, if the authors enlarge observation angle, range migration would appear and that can cause defocus problem.
Hou Yingni, Wang Xia
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Joint sparsity-driven inversion and model error correction for radar imaging [PDF]
, 2009 Solution of inverse problems in imaging requires the use of a mathematical model of the observation process. However such models often involve errors and uncertainties themselves. The application of interest in this paper is synthetic aperture radar (SAR)
Cetin, Mujdat +3 more
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Известия высших учебных заведений России: Радиоэлектроника, 2023 Introduction. The distinction of targets located in the same spatial resolution cell of a radar system includes the determination of the number of targets and their recognition.
E. C. Plotnitskaya +2 more
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Joint space aspect reconstruction of wide-angle SAR exploiting sparsity [PDF]
, 2008 In this paper we present an algorithm for wide-angle synthetic aperture radar (SAR) image formation. Reconstruction of wide-angle SAR holds a promise of higher resolution and better information about a scene, but it also poses a number of challenges when
Cetin, Mujdat +3 more
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Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling [PDF]
, 2005 Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data.
Lohman, Rowena B., Simons, Mark
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Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images [PDF]
IEEE Transactions on Intelligent Vehicles, 2022 We present a framework for simulating realistic inverse synthetic aperture radar images of automotive targets at millimeter wave frequencies. The model incorporates radar scattering phenomenology of commonly found vehicles along with range-Doppler based clutter and receiver noise. These images provide insights into the physical dimensions of the target,
Neeraj Pandey, Shobha Sundar Ram
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Inverse synthetic aperture radar imaging using complex-value deep neural network
The Journal of Engineering, 2019 As compared with traditional ISAR imaging methods, the compressive sensing (CS)-based imaging methods can obtain high-quality images using much less under-sampled data.
ChangYu Hu +4 more
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Remote Sensing, 2013 Autonomous navigation airborne forward-looking synthetic aperture radar (SAR) observes the anterior inferior wide area with a short cross-track dimensional linear array as azimuth aperture.
Xueming Peng +4 more
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A nonquadratic regularization-based technique for joint SAR imaging and model error correction [PDF]
, 2008 Regularization based image reconstruction algorithms have successfully been applied to the synthetic aperture radar (SAR) imaging problem. Such algorithms assume that the mathematical model of the imaging system is perfectly known.
Cetin, Mujdat +3 more
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IET Radar, Sonar & Navigation, 2022 In recent years, bistatic inverse synthetic aperture radar (Bi‐ISAR) imaging of targets with sparse aperture has attracted more and more attention. One of the critical issues is that the Bi‐ISAR imaging of some large targets with rotational motions is ...
Hanshen Zhu +6 more
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