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Logarithmic Laplacian Prior Based Bayesian Inverse Synthetic Aperture Radar Imaging [PDF]
Sensors, 2016 This paper presents a novel Inverse Synthetic Aperture Radar Imaging (ISAR) algorithm based on a new sparse prior, known as the logarithmic Laplacian prior.
Shuanghui Zhang +3 more
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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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High‐resolution inverse synthetic aperture radar imaging of satellites in space
IET Radar, Sonar & Navigation, 2023 In view of the increasing number of space objects, comprehensive high‐quality space surveillance becomes ever more important. Radar is a powerful tool that, in addition to detection and tracking of objects, also enables spatially high‐resolution imaging ...
Simon Anger +4 more
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Inverse synthetic aperture radar imaging using complex-value deep neural network [PDF]
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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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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Leida xuebao, 2021 In the Inverse Synthetic Aperture Radar (ISAR) imaging system, when the terahertz radar transmits the wide bandwidth signal and vortex electromagnetic wave, Three-Dimensional (3D) high-resolution imaging can be achieved through information decoupling ...
Yanwen JIANG, Hongqi FAN, Shuangxun LI
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Autofocus for inverse synthetic aperture radar (ISAR) imaging [PDF]
Signal Processing, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
She, Z., Gray, D., Bogner, R.
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Inverse Airborne Optical Sectioning
Drones, 2022 We present Inverse Airborne Optical Sectioning (IAOS), an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary ...
Rakesh John Amala Arokia Nathan +2 more
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Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary Learning
Remote Sensing, 2021 Sparse imaging relies on sparse representations of the target scenes to be imaged. Predefined dictionaries have long been used to transform radar target scenes into sparse domains, but the performance is limited by the artificially designed or existing ...
Changyu Hu +3 more
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EURASIP Journal on Advances in Signal Processing, 2021 Range alignment is an essential procedure in the translation motion compensation of inverse synthetic aperture radar imaging. Global optimization or maximum-correlation-based algorithms have been used to realize range alignment.
Yue Lu, Jian Yang, Yue Zhang, Shiyou Xu
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