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Micro‐Doppler effect removal for inverse synthetic aperture radar imaging based on augmented Lagrange multipliers

Microwave and optical technology letters (Print), 2020
Micro‐Doppler (MD) effect may decrease the readability of inverse synthetic aperture radar (ISAR) imaging results, so it is more desirable to solve the problem of MD effect removal.
Hongxin Yang, Su Fulin
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using Fourier Transform Technique

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 2019
Inverse Synthetic Aperture Radar (ISAR) imaging techniques are used to estimate the target spatial image using target backscatter data. In the ISAR measurement environment, the target is often modeled as a collection of point scatterers to take advantage
Priyanka Shakya, A. B. Bazil Raj
semanticscholar   +1 more source

Attitude Estimation for Space Targets by Exploiting the Quadratic Phase Coefficients of Inverse Synthetic Aperture Radar Imagery

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
semanticscholar   +1 more source

Resolution enhancement for inverse synthetic aperture radar images using a deep residual network

Microwave and optical technology letters (Print), 2019
A 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
semanticscholar   +1 more source

An Inverse Synthetic Aperture Radar Image Modulation Method Based on Coding Phase-Switched Screen

IEEE Sensors Journal, 2019
Multiple 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
semanticscholar   +1 more source

3-D Interferometric Inverse Synthetic Aperture Radar Imaging of Ship Target With Complex Motion

IEEE Transactions on Geoscience and Remote Sensing, 2018
A 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
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using a Deep ADMM Network

International Radar Symposium, 2019
In 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
semanticscholar   +1 more source

Inverse synthetic aperture radar imaging exploiting dictionary learning

International Radar Conference, 2018
We 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
semanticscholar   +1 more source

Pattern-Coupled Sparse Bayesian Learning for Inverse Synthetic Aperture Radar Imaging

IEEE Signal Processing Letters, 2015
We 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
semanticscholar   +1 more source

Inverse synthetic aperture radar imaging with two-dimensional cluster sparse structure by matrix-formed iteratively reweighted complex approximate message passing

Journal of Applied Remote Sensing, 2018
. A matrix-formed iteratively reweighted complex approximate message passing (MIRCAMP) method is proposed for inverse synthetic aperture radar (ISAR) imaging with two-dimensional (2-D) cluster sparse structure.
Wenfeng Chen   +4 more
semanticscholar   +1 more source

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