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   Articles with "isar" as a keyword



ISAR imaging of target with complex motion based on novel approach for the parameters estimation of multi-component cubic phase signal

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recommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-017-0503-y

Abstract: Inverse synthetic aperture radar (ISAR) imaging of target with complex motion is very important in the radar signal processing domain. In this case, the received signal can be characterized as multi-component cubic phase signal (CPS),… read more here.

Keywords: isar; complex motion; cubic phase; parameters estimation ... See more keywords

Real-World ISAR Object Recognition and Relation Discovery Using Deep Relation Graph Learning

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2896293

Abstract: Real-world inverse synthetic aperture radar (ISAR) object recognition is the most critical and challenging problem in computer vision tasks. In this paper, an efficient real-world ISAR object recognition and relation discovery method are proposed, based… read more here.

Keywords: isar; real world; object recognition; relation ... See more keywords

Continuity Pattern Structure of Target Scene in Support of Multiple-Channel ISAR Imagery

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2916200

Abstract: This paper presents a multiple-channel ISAR system for multiple air-targets imaging by illuminating a sequence of N narrow and high-gain signal beams over a wide area. Echoes are received by M channels and synthesized into… read more here.

Keywords: channel isar; multiple channel; isar; continuity pattern ... See more keywords

A Deformation Robust ISAR Image Satellite Target Recognition Method Based on PT-CCNN

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3056671

Abstract: To tackle the inherent unknown deformation (e.g., translation, rotation and scaling) of the inverse synthetic aperture radar (ISAR) images, a deep polar transformer-circular convolutional neural network, i.e., PT-CCNN, is proposed to achieve deformation robust ISAR… read more here.

Keywords: deformation robust; isar; deformation; image ... See more keywords

Efficient Autofocus Chain for ISAR Imaging of Non-Uniformly Rotating Target

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recommendations! Published in 2017 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2017.2727507

Abstract: Conventional approaches to inverse synthetic aperture radar (ISAR) imaging of a non-uniformly rotating target are not optimal in terms of reconstructed image quality and/or computation time. Motivated by the problems of conventional approaches, we introduce… read more here.

Keywords: non uniformly; autofocus chain; target; isar ... See more keywords

Efficient Determination of Frame Time and Length for ISAR Imaging of Targets in Complex 3-D Motion Using Phase Nonlinearity and Discrete Polynomial Phase Transform

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recommendations! Published in 2018 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2018.2841976

Abstract: When a target undergoes complex 3-D motions, focused inverse synthetic aperture radar (ISAR) images cannot be obtained using any motion compensation algorithms. To address this problem, we propose a method to determine the suitable frame… read more here.

Keywords: phase; isar; time length; isar imaging ... See more keywords

ISAR Imaging and Cross-Range Scaling for Maneuvering Targets by Using the NCS-NLS Algorithm

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recommendations! Published in 2019 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2019.2898231

Abstract: The azimuth resolution of an inverse synthetic aperture radar (ISAR) image is determined by the angular diversity of the target. In order to improve the azimuth resolution of an ISAR image, it is necessary to… read more here.

Keywords: range scaling; cross range; isar; phase error ... See more keywords

Software-Oriented Adjustable Concentration of ISAR Images—Toward Super-Resolution

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3559155

Abstract: This article presents the concept of adjustable inverse synthetic aperture radar (ISAR) image concentration using the Levenberg-Marquardt optimization algorithm and the windowed 2-D Fourier transform (W2D-FT). A recently developed method for strong ISAR focusing is… read more here.

Keywords: image; resolution; software oriented; isar ... See more keywords

Conditional Prior Probabilistic Generative Model With Similarity Measurement for ISAR Imaging

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3073691

Abstract: The higher bandwidth inverse synthetic aperture radar (ISAR) can obtain the higher resolution radar images, which can provide more target information and help improve radar target detection and recognition. It is essential to study how… read more here.

Keywords: probabilistic generative; isar; isar imaging; generative model ... See more keywords

Gridless Sparse ISAR Imaging via 2-D Fast Reweighted Atomic Norm Minimization

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3191394

Abstract: Aiming at acquiring high-resolution ISAR image effectively and quickly, a new fast gridless imaging method with a sound two-dimensional (2-D) reweighting strategy is proposed in this letter. First, the received echo is characterized as a… read more here.

Keywords: isar; isar imaging; atomic norm; gridless ... See more keywords

Sparse Aperture High-Resolution RID ISAR Imaging of Maneuvering Target Based on Parametric Efficient Sparse Bayesian Learning

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recommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2024.3371674

Abstract: Inverse synthetic aperture radar (ISAR) imaging for maneuvering targets (MTs) in sparse aperture (SA) conditions is a challenging problem. Range instantaneous Doppler (RID) is useful for ISAR imaging of MT through time-frequency analysis (TFA). However,… read more here.

Keywords: sparse aperture; isar; imaging maneuvering; parametric efficient ... See more keywords