Article
Environmental Sciences
Wenzhe Li, Yanxin Yuan, Yuanpeng Zhang, Ying Luo
Summary: This paper proposes an unblurring ISAR imaging method based on an advanced Transformer structure for maneuvering targets. By generating pseudo-measured data and adopting a locally-enhanced window Transformer block to construct a Uformer-based GAN, deblurred ISAR images with rich details and textures can be obtained.
Article
Geochemistry & Geophysics
Hongyin Shi, Long Zhang, Da Liu, Ting Yang, Zhijun Qiao
Summary: In this paper, a motion compensation-driven high-resolution imaging algorithm based on Fourier ptychographic microscopy (FPM) technology is proposed to address the issues of low resolution and poor noise suppression in maneuvering target imaging with traditional inverse synthetic aperture radar (ISAR) algorithms. The effectiveness of the proposed algorithm is verified through the use of simulation data and real radar data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jiabao Ding, Yachao Li, Jiadong Wang, Ming Li, Jingyi Wei
Summary: This article proposes a novel method to compensate for the 2-D spatial variant phase errors and correct the geometric distortion simultaneously for Bi-ISAR imaging based on parametric minimum entropy optimization. The method can achieve efficient imaging of maneuvering targets.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xinhang Zhu, Yicheng Jiang, Zitao Liu, Ruida Chen, Xin Qi
Summary: A novel ISAR imaging algorithm based on the cubic phase function and changing sampling rate (CPF-CSR) is proposed in this letter to eliminate high-order phase terms, resulting in a well-focused ISAR image.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Jiang Qian, Shaoyin Huang, Lu Wang, Guoan Bi, Xiaobo Yang
Summary: In this paper, we propose a new super-resolution inverse synthetic aperture radar (ISAR) imaging method based on deep-learning-assisted time-frequency analysis (TFA). The linear TFA assisted by the pretrained network can achieve sharply focused and denoised target image with super-resolution. Experimental results demonstrate the superiority of the proposed method over traditional ones.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Hardware & Architecture
Weihong Fu, Yue Chen
Summary: In this paper, an ISAR imaging algorithm based on the adjacent cross-correlation function (ACCF) is proposed to effectively compensate for range migration and Doppler migration caused by complex moving targets. The algorithm is simple and fast, and can be accomplished through complex multiplication, fast Fourier transform (FFT), and inverse fast Fourier transform (IFFT) without the need for a searching process. Simulation results show that the algorithm has lower computational complexity compared to existing methods and achieves ideal results in both anti-noise performance and imaging.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Geochemistry & Geophysics
Penghui Huang, Xiang-Gen Xia, Muyang Zhan, Xingzhao Liu, Guisheng Liao, Xue Jiang
Summary: A novel ISAR imaging algorithm is proposed in this article for maneuvering targets with moderate reflection intensity, effectively handling the impact of target motion on ISAR image quality, and the effectiveness and superiority of the algorithm are validated through the imaging results of simulated and real measured data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Binbin Wang, Hao Cha, Zibo Zhou, Huatao Tang, Lidong Sun, Baozhou Du, Lei Zuo
Summary: An iterative phase autofocus approach is proposed to address the phase error issue caused by maneuvering targets in ISAR imaging. Through iterative processing using minimum entropy autofocus method and adaptive modified Fourier transform, better imaging results are achieved.
Article
Environmental Sciences
Jin Wei, Yicheng Jiang, Yun Zhang, Zitao Liu
Summary: A rotational motion estimation method is proposed to eliminate the high-order phase term and nonlinear migration through range cells, greatly improving computational efficiency. Frequency axis reversal transform and Radon-nonuniform fractional Fourier transform are used to estimate motion parameters. A search algorithm-based approach is employed to obtain fine parameter estimation, leading to quick and accurate results. Resampling and Keystone transform help eliminate high-order phase term and nonlinear migration, ultimately resulting in a focused image through Fourier transform. Experimental results demonstrate the effectiveness and computational efficiency of the proposed algorithm.
JOURNAL OF APPLIED REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Hanshen Zhu, Wenhua Hu, Baofeng Guo, Xiaoxiu Zhu, Dongfang Xue, Chang'an Zhu
Summary: This paper proposes a compensation imaging method for bistatic inverse synthetic aperture radar (Bi-ISAR) by combining linearized Bregman iteration and image contrast search. It addresses the problem of translation compensation in traditional imaging methods due to the non-uniform motion state of maneuvering targets and time-varying bistatic angles. The proposed algorithm transforms the translation compensation problem into two-dimensional joint compressed sensing sparse reconstruction and moving target motion parameter estimation, effectively improving the accuracy of compensation and the image quality of targets, and exhibiting stronger robustness to noise.
Article
Geochemistry & Geophysics
Zhijun Yang, Dong Li, Xiaoheng Tan, Hongqing Liu, Le Xu, Guisheng Liao
Summary: This work proposes an efficient approach for ISAR imaging of highly maneuvering targets with nonstationary IPP, establishing the geometry and signal model of the target with nonstationary IPP, and utilizing the subarray averaging operation in conjunction with image entropy to accelerate the global optimal convergence.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Multidisciplinary Sciences
Xianhu Sun, Dongxiang Wu, Lianfeng Zou, Stephen D. House, Xiaobo Chen, Meng Li, Dmitri N. Zakharov, Judith C. Yang, Guangwen Zhou
Summary: This study demonstrates the role of mismatch dislocations in modulating oxide-to-metal interfacial transformations, showing that the pinning effect is associated with the non-local transport of metal atoms to fill vacancies at the dislocation core. These results provide mechanistic insight into solid-solid interfacial transformations and have substantial implications for utilizing structural defects at buried interfaces to modulate mass transport and transformation kinetics.
Article
Geochemistry & Geophysics
Zitao Liu, Yicheng Jiang, Yong Wang, Yuhan Du, Jinxiang Wang
Summary: This article introduces a novel ISAR technique, the Range Instantaneous Doppler Derivative (RIDD) algorithm, which can obtain two different types of well-focused ISAR images. In order to improve the accuracy of target classification and recognition, a new imaging and scaling approach is proposed, and its effectiveness is demonstrated through experiments.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xin Li, Libing Huang, Shunsheng Zhang, Wen-Qin Wang
Summary: This letter proposes two long-time coherent integration algorithms with low computational cost for target detection by utilizing phase compensation and time-reversal transform. Simulations verify the effectiveness of the algorithms and show that they have much lower computational burden compared to existing methods such as GRFT and GDKT.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Huagui Du, Yongping Song, Nan Jiang, Daoxiang An, Wu Wang, Chongyi Fan, Xiaotao Huang
Summary: In this article, a novel SAR moving target imaging method based on adaptive phase tracking (MTIm-APT) is proposed. The method can adaptively track the Doppler phase and estimate the motion parameters required for moving target imaging. It efficiently eliminates high-order Doppler phase errors and maintains excellent imaging performance at a lower signal-to-noise ratio (SNR) compared to classical PGA. Both simulated and real data processing results are provided to validate the feasibility and effectiveness of the proposed method.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Artificial Intelligence
Zhuan Zhang, Shuisheng Zhou, Ting Yang, Junna Zhang
Summary: The P-DSG algorithm combines the advantages of DSG and gradient preconditioning, with a fast convergence rate and a smaller constant factor.
APPLIED INTELLIGENCE
(2022)
Article
Remote Sensing
Ting Yang, Hongyin Shi, Jianwen Guo, Da Liu, Zhijun Qiao
Summary: This article proposes a method to significantly improve the imaging resolution of conventional real-aperture imaging radar by using multiple beams carrying orbital angular momentum. The research shows that OAM beams can promote super-resolution imaging, and a scheme for adjusting the directivity of EM vortex beam is proposed for better imaging results.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Engineering, Aerospace
Jianwen Guo, Hongyin Shi, Ting Yang, Chunyang Lv, Zhijun Qiao
Summary: This study proposes a convolutional neural network-based compensation method for atmospheric turbulence, which can effectively repair distorted electromagnetic wave phases and improve communication capacity and radar imaging resolution.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Zhuan Zhang, Shuisheng Zhou, Dong Li, Ting Yang
Summary: Sparse two-dimensional principal component analysis (2DPCA) is an effective dimensionality reduction technique widely used in face recognition. The Manifold Proximal Gradient Algorithm (ManPG) is efficient and robust for solving the non-convex and non-smooth optimization problem of sparse 2DPCA, but its computational complexity is high. In order to reduce this complexity, the Riemannian Proximal Stochastic Gradient Descent algorithm (RPSGD) is proposed, which maintains sublinear convergence and offers advantages in large-scale sparse 2DPCA applications.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Ting Yang, Hongyin Shi, Jianwen Guo, Da Liu
Summary: This paper proposes a new method for achieving 3D ISAR imaging using the superposition of different plane spiral OAM waves. By introducing eigenmode beam steering techniques, deriving an ISAR imaging model and analyzing echo characteristics, and proposing an effective imaging method based on amplitude phase compensation and fast tensor-SL0 reconstruction algorithm, the paper solves the problem of 3D sparse imaging. Simulations show that the proposed method significantly reduces computational complexity and removes sidelobes and artifacts remarkably from sparse measurements.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Ting Yang, Hongyin Shi, Zhijun Qiao
Summary: This study investigates the application of vortex beams carrying different orbital angular momentum (OAM) modes to synthetic aperture radar (SAR) systems. An enhanced SAR imaging method is proposed, which utilizes plane spiral OAM (PS-OAM) to form a pencil beam and eliminates the negative effects of traditional OAM. Numerical simulations demonstrate that the proposed method achieves high-precision focusing processing.
Article
Engineering, Electrical & Electronic
Ting Yang, Shuisheng Zhou, Zhuan Zhang
Summary: Subspace clustering is a technique for clustering high-dimensional data. Least squares regression (LSR) is a classical subspace clustering model, but it lacks sparsity and is sensitive to noise and data dimension. In this paper, a new method called KSL SR is introduced, which solves the optimization problem of LSR directly using 0-1 integer programming. The proposed method has both k-sparsity and grouping effect, making it robust to noise and data dimension.
Article
Engineering, Electrical & Electronic
Da Liu, Hongyin Shi, Hui Liu, Ting Yang, Jianwen Guo
Summary: In this study, a method for vortex missile-borne bistatic synthetic aperture radar (BSAR) is proposed, which combines the orbital angular momentum (OAM) beam with traditional missile-borne BSAR technique to achieve a larger Doppler bandwidth and higher azimuth resolution. Amplitude compensation and azimuth compensation factor are also introduced to improve the imaging performance. Simulation results show that the proposed vortex missile-borne BSAR outperforms conventional missile-borne BSAR in terms of azimuth resolution.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Da Liu, Hongyin Shi, Ting Yang, Long Zhang
Summary: This paper proposes a high-resolution imaging algorithm based on Fourier ptychography for moving target autofocusing imaging. Simulation results show that this method can achieve fine imaging performance without estimating target motion parameters.
DIGITAL SIGNAL PROCESSING
(2023)
Article
Geochemistry & Geophysics
Hongyin Shi, Long Zhang, Da Liu, Ting Yang, Jianwen Guo
Summary: The performance of traditional synthetic aperture radar (SAR) imaging methods is limited by system bandwidth and affected by target motion state. To address this problem, we propose a high-resolution moving targets SAR imaging method based on Omega-k and Fourier ptychographic microscopy (FPM) phase retrieval (PR) technology, which achieves PR through alternating iteration between time and 2-D frequency domains. Experimental results using simulation and measured data validate the effectiveness of the proposed method.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Hongyin Shi, Long Zhang, Da Liu, Ting Yang, Zhijun Qiao
Summary: In this paper, a motion compensation-driven high-resolution imaging algorithm based on Fourier ptychographic microscopy (FPM) technology is proposed to address the issues of low resolution and poor noise suppression in maneuvering target imaging with traditional inverse synthetic aperture radar (ISAR) algorithms. The effectiveness of the proposed algorithm is verified through the use of simulation data and real radar data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
