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Application Of Selective Linear Predictive Coding (SLPC) In Enhancing Cross-Range Resolution Of Inverse Synthetic Aperture Radar (ISAR)

SPIE Proceedings, 1989
High range resolution X-band Inverse Synthetic Aperture Radar (ISAR) using stepped frequency waveforms is described. Target images are produced by performing inverse Fourier transform in range dimension and linear predictive coding in the cross-range dimension.
D. Nandagopal   +5 more
openaire   +1 more source

An Efficient Basis for Decomposition of Cavity Returns in Inverse Synthetic Aperture Radar (ISAR) Measurements Using Basis Pursuit

2019 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2019
We recently described a technique called basis pursuit dictionary editing (BDPE) that uses L1 minimization techniques to remove contamination from ISAR measurements and imagery of rotating targets [1]. While our original BPDE technique works well when the target scattering is dominated by literal (non-interacting) returns, non-literal target scattering,
Ivan J. LaHaie   +2 more
openaire   +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

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

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

Data Collection Eclipsing Effects in the Inverse Polar Format Algorithm (IPFA) for Turntable Spotlight Inverse Synthetic Aperture Radar (ISAR) Imaging Systems

2007 IEEE Radar Conference, 2007
This paper will present the findings associated with data eclipsing effects in the inverse polar format algorithm (IPFA) for turntable spotlight inverse synthetic aperture radar (ISAR) imaging systems. Typical turntable ISAR systems illuminate a scene of interest with an electromagnetic source in order to obtain samples of the reflectivity function ...
Scott D. Fisher   +2 more
openaire   +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

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 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

Synthetic Aperture Radar Imaging Meets Deep Unfolded Learning: A comprehensive review

IEEE Geoscience and Remote Sensing Magazine
Synthetic aperture radar (SAR) can obtain high-resolution images without being affected by environmental visibility. The compressed sensing (CS) technique is considered to be a strong candidate for simplifying SAR system complexity and improving imaging ...
Mou Wang   +6 more
semanticscholar   +1 more source

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