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Published in 2025 at "Electronics Letters"
DOI: 10.1049/ell2.70303
Abstract: This paper proposes an integrated neural network for joint noise suppression and resolution enhancement of inverse synthetic aperture radar (ISAR) images. Unlike conventional methods that address both challenges separately, we present a unified framework that…
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Keywords:
noise suppression;
resolution enhancement;
isar images;
suppression resolution ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3600459
Abstract: Inverse Synthetic Aperture Radar (ISAR) images are important in civilian and military applications. This is particularly true in military applications, where they are used for surveillance. One of the applications that we focus on is…
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Keywords:
ships inpainting;
image;
generation ships;
isar image ... See more keywords
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Published in 2018 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2018.2829826
Abstract: Synthetic aperture radar automatic target recognition (SAR ATR) is a powerful tool for recognizing targets. The SAR ATR needs a massive database of inverse synthetic aperture radar (ISAR) images from computer-aided design (CAD) models for…
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Keywords:
angles using;
aspect angles;
isar images;
multiple aspect ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3210036
Abstract: Inverse synthetic aperture radar (ISAR) is an effective detection method for targets. However, for the maneuvering targets, the Doppler frequency induced by an arbitrary scatterer on the target is time-varying, which will cause defocus on…
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Keywords:
pix2pixhd network;
valued pix2pixhd;
isar images;
complex valued ... See more keywords
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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3533564
Abstract: Deep learning (DL) has emerged as a powerful and versatile technology for achieving high-accuracy automatic target recognition (ATR) using inverse synthetic aperture radar (ISAR) images. However, there is a notable lack of analysis regarding the…
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Keywords:
risk misidentification;
isar images;
network;
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Published in 2018 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2018.2814211
Abstract: In this study, we propose an efficient strategy to exploit cross-range resolutions (CRRs) of inverse synthetic aperture radar (ISAR) images to improve classification performance. The proposed method preprocesses an ISAR image of an unknown target…
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Keywords:
classification;
isar image;
isar;
isar images ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3098110
Abstract: In this article, we propose a new signal-decomposition algorithm composed of three steps: principal components analysis to yield high-resolution range profiles with improved signal-to-noise ratio; estimation of whitening and mixing matrices using independent component analysis…
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Keywords:
micro doppler;
isar images;
fast rotating;
aircraft fast ... See more keywords
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Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3619004
Abstract: For inverse synthetic aperture radar (ISAR) imaging under incomplete data conditions including sparse aperture and limited bandwidth, the high-quality focused ISAR images cannot be obtained by traditional methods. Although various sparse signal processing methods have…
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Keywords:
sparse bayesian;
coupled sparse;
pattern coupled;
bayesian learning ... See more keywords