- Geophysical Methods and Applications
- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- Geophysical and Geoelectrical Methods
- Soil Moisture and Remote Sensing
- Underwater Acoustics Research
- Microwave Imaging and Scattering Analysis
- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Planetary Science and Exploration
- Ultrasonics and Acoustic Wave Propagation
- Seismology and Earthquake Studies
- Landslides and related hazards
- Structural Behavior of Reinforced Concrete
- Geotechnical and Geomechanical Engineering
- Advancements in Battery Materials
- Innovative concrete reinforcement materials
- Advanced Sensor and Control Systems
- CO2 Reduction Techniques and Catalysts
- Environmental and Agricultural Sciences
- Rock Mechanics and Modeling
- Molten salt chemistry and electrochemical processes
- Web Data Mining and Analysis
- Coal Properties and Utilization
- Animal Ecology and Behavior Studies
Jilin University
2016-2025
Jilin Province Science and Technology Department
2015-2025
Jilin Medical University
2011-2024
Changjiang Water Resources Commission
2023-2024
Ministry of Water Resources of the People's Republic of China
2023-2024
Xi'an Jiaotong University
2024
Xiangtan University
2023
Ministry of Natural Resources
2019-2021
Science and Technology on Surface Physics and Chemistry Laboratory
2020
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2018
The ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique is playing a more and important role in the application of through-wall detection because its high resolution, lower antenna requirements, efficient data capturing ability. This paper develops novel UWB MIMO system using stepped-frequency continuous-wave (SFCW) signal, which designed to detect human targets behind regular brick concrete wall. In order balance range resolution wall-penetration depth, miniaturized Vivaldi...
While recent low-cost radar-camera approaches have shown promising results in multi-modal 3D object detection, both sensors face challenges from environmental and intrinsic disturbances. Poor lighting or adverse weather conditions degrade camera performance, while radar suffers noise positional ambiguity. Achieving robust detection requires consistent performance across varying conditions, a topic that has not yet been fully explored. In this work, we first conduct systematic analysis of...
Ground-penetrating radar (GPR) is an efficient and nondestructive geophysical method with great potential for detecting soil water content at the farmland scale. However, a key challenge in detection obtaining rapidly real-time. In recent years, deep learning methods have become more widespread earth sciences, making it possible to use them inversion from GPR data. this paper, we propose neural network framework GPRSW based on of end-to-end that directly inverts volumetric (VSWC) through...
In-context segmentation has drawn more attention with the introduction of vision foundation models. Most existing approaches adopt metric learning or masked image modeling to build correlation between visual prompts and input queries. In this work, we explore problem from a new perspective, using one representative generation model, latent diffusion model (LDM). We observe task gap in models, but LDM is still an effective minimalist for in-context segmentation. particular, propose two...
Ground Penetrating Radar (GPR) has become a widely used technology in geophysical prospecting. The Variational Mode Decomposition (VMD) method is fully non-recursive signal decomposition with noise robustness for GPR data processing. VMD algorithm determines the central frequency and bandwidth of each Intrinsic Function (IMF) by iteratively searching optimal solution variational mode capable adaptively effectively dividing domain into many IMFs. However, penalty parameter α number IMFs K...
Ground-penetrating radar (GPR) is an important tool for measuring soil water content (SWC) at the field scale. The amplitude analysis of early time signal (ETS) GPR may provide a rapid way to estimate SWC. By assuming homogeneous medium, various studies have been conducted on relationship between ETS and topsoil layer’s electromagnetic parameters (dielectric permittivity conductivity) through numerical simulations, laboratory experiments, experiments. Soil typical inhomogeneous cultivation...
Full-waveform inversion (FWI) of ground-penetrating radar (GPR) data is a promising technique for the parameter imaging near subsurface. In this paper, we present an innovative model-based layer stripping FWI (MLS FWI) approach reconstructing dielectric permittivity that specifically applicable to propagation waves. From top bottom in model domain, relative updated by layer. Differing from traditional FWI, which uses offset and/or temporal window extract partially observed calculating...
China is strongly dependent on railway transportation, but the frost heaving of subgrade in cold regions has seriously affected safety and comfort trains. Moisture content an essential parameter heave. Non-destructive efficient geophysical methods have great potential measuring moisture subgrade. In this paper, we use common mid-point (CMP) measurement ground penetrating radar (GPR) to estimate propagation velocity electromagnetic waves a application. We establish synthetic model simulate...
An experimental test was performed to study the bond behavior between steel rebar and concrete reinforced by polyvinyl alcohol (PVA) fibers. Twenty specimens were prepared subjected pull-out test. Four different fiber volume contents (0%, 0.2%, 0.4%, 0.6%) considered with strength grade of C35 designed in present study. The effects PVA fibers, diameter, cover depth on clarified. fibers mechanical property also studied. results show that decreased compressive concrete, but increased splitting...
To provide meaningful data, polarimetric ground penetrating radar (GPR) requires accurate calibration of channel imbalance and crosstalk not only in the amplitude term but also phase term. Currently, techniques usually ignore higher-order terms to simplify equations. These techniques, though very easy perform, less results for crosstalk. improve accuracy calibration, we have derived a new mathematical formulation calibrate GPR system. We measured several scattering matrices obtain necessary...
Aims In arid and semiarid regions, precipitation is the most important water source for plants. Our objective was to investigate water-use strategies of two dominant desert plants along a gradient in northwestern China. Methods We determined stable hydrogen oxygen isotope compositions stem from Artemisia ordosica Nitraria tangutorum potential sources (rain water, groundwater soil water) at three study sites with different annual (Hanggin Banner Dengkou County Inner Mongolia Autonomous Region...
Directional borehole radar (BR) 3-D imaging is a challenging problem due to its limited observation space within borehole. We present linear prediction (LP)-based direction-of-arrival (DOA) estimation and migration-based algorithm for the directional BR, which composed of transmitting antenna uniform circular array including four small receiving antennas. Only azimuth estimated, while elevation distance are included in process. LP useful tool DOA domain, but single (LA) has ambiguity...
Xiuyan Jade, produced in County, Liaoning Province, China is one of the four famous jade China. King which deemed largest body world, was broken out from a hill. The local government planned to build tourism site based on culture there. purpose investigation evaluate stability subsurface foundation, and possible positions mined-out zones prevent further rolling body. Cross-hole radar tomography key technique investigation. Conventional travel time attenuation ray tracing theory cannot...
China's first Mars probe Tianwen-1 has successfully landed on the southern Utopia Planitia of May 15, 2021. The Zhurong rover is equipped with a full-polarimetric Rover Penetrating Radar (FP-RoPeR) system, aiming to map subsurface fine structure and find potential underground water ice. However, different from previous ice detection orbital radar, FP-RoPeR signals will be affected by induced field rotation (IFR) if electromagnetic (EM) waves propagate through rough interfaces. Therefore, in...
Traditional cross-hole radar tomography (CRT) usually cannot obtain high-resolution imaging results due to the nonlinearity and multi-solution of inversion. To cope with these challenges, we propose a scheme achieve CRT for complex slowness models using deep neural networks (DNNs). Given inherent difficulty in generating geophysical batches, by series processing some remote sensing images from scene classification dataset, create real model dataset. Then, utilize 2D U-Net directly construct...
Directional borehole radar (DBR) is a powerful tool for constructing the 3-D morphology of subsurface geological bodies. Direction arrival (DOA) estimation key step in imaging. However, existing DOA methods are constrained by factors such as DBR aperture, and can only identify one signal source within time window. Consequently, when faced with multiple targets, encounters challenges effectively distinguishing them, especially their echoes nearly overlap. In addition, presence interference...