A5024106373- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Radar Systems and Signal Processing
- Sparse and Compressive Sensing Techniques
- Microwave Imaging and Scattering Analysis
- Machine Fault Diagnosis Techniques
- Acute Ischemic Stroke Management
- Structural Health Monitoring Techniques
- Ultrasonics and Acoustic Wave Propagation
- Radioactive element chemistry and processing
- Chemical Synthesis and Characterization
- Geophysical Methods and Applications
- Advanced Measurement and Detection Methods
- Smart Grid and Power Systems
- Covalent Organic Framework Applications
- Image Processing Techniques and Applications
- Neurological Disease Mechanisms and Treatments
- Robotics and Sensor-Based Localization
- Atherosclerosis and Cardiovascular Diseases
- High-Voltage Power Transmission Systems
- Image and Signal Denoising Methods
- Cerebrovascular and Carotid Artery Diseases
- Computational and Text Analysis Methods
- Advanced Sensor and Control Systems
- Advanced Neural Network Applications
Anhui University of Science and Technology
2024-2025
Huaian First People’s Hospital
2025
Northwest A&F University
2024
Xidian University
2019-2024
State Grid Corporation of China (China)
2024
Xuzhou University of Technology
2024
China Three Gorges University
2024
Signal Processing (United States)
2021
Sichuan University
2019
Identifying ecological protection priority areas (EPPAs) in municipal is essential for accurate restoration and ensuring sustainable regional development. Xianyang represents a typical medium-sized city that currently grappling with the dual challenges of urban This study employed multi-criteria method to evaluate importance, considering both ecosystem services vulnerability. Based on this, corridors pinch points enhance connectivity were delineated using circuit theory. Subsequently,...
Seasonal and industrial fluctuations in natural gas demands require optimized storage operations, especially depleted reservoirs, to ensure a stable supply. This study proposes novel optimization model for injection–production processes using the simulated annealing–particle swarm (SA-PSO) algorithm. The focuses on minimizing pressure variances across different reservoir blocks during cycles. approach is applied W23 underground facility, where high-precision 3D geological numerical...
Inflammation is recognized as a pivotal factor in the pathophysiology of acute ischemic stroke (AIS) and has potential to influence collateral circulation patients. The objective this investigation was explore link between peripheral regulatory T cells (Tregs), interleukin-2 (IL-2), status circulation. Between September 2023 May 2024, study incorporated 117 AIS patients from neurology department, with 60 identified having good (GCS) 57 poor (PCS). Additionally, control group 46 healthy...
Clutter background suppression is a critical problem in synthetic aperture radar-ground moving target indication (SAR-GMTI). In general, great quantity of secondary data not easily acquired heterogeneous environments. To solve the clutter suppression, method based on nonlocal self-similarity-robust principal component analysis (NSS-RPCA) proposed for airborne SAR systems. First, discrete separated from echo by RPCA after range pulse compression. Second, similar blocks residual-clutter are...
In high-maneuverability bistatic forward-looking synthetic aperture radar (HMBF-SAR) imaging, the acceleration leads to an increased residual range curve and a deepened two-dimensional spatial variance of Doppler parameters, which cannot be processed by traditional algorithms. To address these problems, this paper establishes more accurate digital representation for HMBF-SAR model investigates extended azimuth nonlinear Chirp Scaling (EANLCS) imaging method. flowchart paper, we first propose...
Spatial-variant phase errors (PEs) are important factors which defocus the synthetic aperture radar (SAR) image. In time-domain SAR imaging, exact calculation of instantaneous range is carried out to realize imaging. Accurate trajectory key compensate spatial-variant PEs and ensure image focus. Thus, an improved autofocus method based on three-dimensional motion (3-D MEs) estimation proposed in this article. First, maximizing-maximum-pixel-value used estimate nonspatial-variant PEs....
For the high-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) system, increasing imaging width results in a serious range ambiguity problem, which affects performance of ground moving target indication (GMTI). In this article, novel nonuniform subpulse coding (NSPC) scheme is proposed. It characterized by resorting to range-frequency band resources detailed design for each subpulse, enabling beam auto-scanning elevation. Also, bandpass filtering digital beamforming (DBF)...
RatSLAM is a brain-inspired simultaneous localization and mapping(SLAM) system used to construct experience maps for environments, requiring odometry data visual scenes in the path traveled. But it does not perform well complex indoor surroundings due rough processing approach. In this paper, we propose modified RatSLAM, feature-based monocular SLAM that operates real-time. The learned arrangements of three patch codes(LATCH) multi-index hashing(MIH) algorithm are introduced evaluate...
In multi-channel synthetic aperture radar-ground moving target indication (SAR-GMTI), most radial velocity estimation methods are based on the phase difference between channels. However, image coregistration and channel errors will have a severe impact Moreover, it deteriorates performance of estimation. To solve this problem, robust method is proposed using frequency diverse array-SAR (FDA-SAR) in letter. By introducing step frequency, interferometric among channels linear function Doppler...
High computational complexity and phase errors (PEs) are the main limitations of time-domain (TD) synthetic aperture radar (SAR) imaging algorithms. Accelerated fast backprojection (BP) (AFBP) algorithm avoids interpolation through wavenumber spectrum connection is an efficient TD algorithm. In order to deal with image defocusing problem caused by PEs effectively ensure rapid imaging, a autofocus method proposed in this article, which based on generalized sharpness metrics AFBP model. The...
Airborne downward-looking sparse linear array 3-D synthetic aperture radar (DLSLA SAR) usually uses a and nonuniform that often does not satisfy the Nyquist sampling theorem. Therefore, cross-track dimensional imaging will fail with traditional frequency-domain algorithms. Several grid-based reconstruction (GB-SR) algorithms have been presented to solve this issue. However, they assume scatterers are located on discretized grids; otherwise, off-grid effect or basis mismatch problem occur. To...
In order to reconstruct the linear frequency modulated (LFM) signal, such as radar signal due complexity. A novel parameter estimation method based on a modified convolution kernel function (MCKF) is proposed for multi-component LFM in this paper. The has fewer external cross-terms and light computational burden because of non-searching operations. Moreover, it robust against additive noise. Finally, simulated real data results confirm method.
Downward-looking sparse linear array 3-D synthetic aperture radar (DLSLA SAR) cross-track dimensional imaging always suffers from incomplete observation which does not satisfy the Nyquist sampling theorem and leads to failure of conventional frequency-domain methods. Although several reconstruction-based methods have been presented solve this problem, basis mismatch issue in reconstruction theory will degrade image performance. To address issue, article proposes a novel method for DLSLA SAR,...
For missile-borne platforms, traditional SAR technology consistently encounters two significant shortcomings: geometric distortion of 2D images and the inability to achieve forward-looking imaging. To address these issues, this paper explores feasibility using a maneuvering trajectory enable three-dimensional imaging by analyzing characteristics an actual platform. Additionally, it derives corresponding resolution characterization model, which lays theoretical foundation for future...
Lipids are associated with atherosclerosis, and novel lipid indices have been recently identified to be closely linked cardiovascular diseases. This study explored the association between four white matter hyperintensities (WMHs) in patients diagnosed cerebral small vessel disease (CSVD).