A5069530460- Synthetic Aperture Radar (SAR) Applications and Techniques
- Rock Mechanics and Modeling
- Structural Health Monitoring Techniques
- Geophysical Methods and Applications
- Probabilistic and Robust Engineering Design
- Smart Grid Security and Resilience
- Advanced SAR Imaging Techniques
- Advanced Multi-Objective Optimization Algorithms
- Remote Sensing in Agriculture
- Robotics and Sensor-Based Localization
- Evaluation and Optimization Models
- Legal and Policy Issues
- Cryospheric studies and observations
- Geoscience and Mining Technology
- Geomechanics and Mining Engineering
- Tensor decomposition and applications
- Electromagnetic wave absorption materials
- Power Systems and Technologies
- Advanced Antenna and Metasurface Technologies
- Smart Grid and Power Systems
- Optimal Experimental Design Methods
- Structural Response to Dynamic Loads
- Engineering Diagnostics and Reliability
- Optical measurement and interference techniques
- Metamaterials and Metasurfaces Applications
Jiangsu Normal University
2015-2025
Harbin Institute of Technology
2007-2025
Fujian Electric Power Survey & Design Institute
2019-2024
Northeastern University
2024
Chang'an University
2020-2023
Ministry of Education of the People's Republic of China
2021-2023
Nanjing University of Aeronautics and Astronautics
2023
China Centre for Resources Satellite Data and Application
2022-2023
Ministry of Natural Resources
2022-2023
EY Technologies (United States)
2023
There has been growing interest in developing more effective learning machines for tensor classification. At present, most of the existing machines, such as support machine (STM), involve nonconvex optimization problems and need to resort iterative techniques. Obviously, it is very time-consuming may suffer from local minima. In order overcome these two shortcomings, this paper, we present a novel linear higher-order (SHTM) which integrates merits C-support vector (C-SVM) rank-one...
Underground mining activities usually induce large surface displacements thus causing serious safety hazards and potential ecological damage. The capability of conventional Interferometric Synthetic Aperture Radar (InSAR) to monitor tectonic movements, volcanic eruptions city subsidence has been fully demonstrated, but its application is limited because the failure caused by localized with strong spatial gradients. In this paper, a new method presented utilize SAR pixel Offset Tracking (OT)...
Land subsidence processes in deep mining areas have long time durations, and land deformation models should be obtained using many field observations. In this paper, the capability of monitoring ALOS PALSAR pairs with short baselines has been investigated area Xuzhou, Jiangsu province. For image poor temporal baselines, it is difficult to correctly generate whole basin, more information lost that rapid changes vegetation. Therefore, an approach combining differential interferometric...
After a coal mine is closed, the rock mass could undergo weathering deterioration and strength reduction due to factors such as stress groundwater, which in turn changes bearing capacity of fractured abandoned goaf, leading secondary or multiple surface deformations goaf. Currently, spatiotemporal evolution pattern deformation closed mines remains unclear, there no integrated monitoring prediction model for mines. Therefore, this study proposed construct an using small baseline subset (SBAS)...
<title>Abstract</title> Data is increasingly abundant in fields such as biology, engineering, neuroscience, and epidemiology. However, developing accurate models that capture the dynamics of underlying system while ensuring interpretability generalizability remains a significant challenge. To address this, we propose novel methodology called Minimal Realization Time-Delay Koopman (MRTK) analysis, which capable identifying minimal degrees freedom linear systems handling both full-state sparse...
Abstract Fault detection becomes especially crucial for maintaining the dependability and safety of power equipment as systems become more complicated. This work aims to increase accuracy efficiency fault signal identification in by proposing a method based on nonlinear stochastic resonance Duffing chaotic oscillator detect weak signals systems. First, this study develops model approach. By modifying system parameters put critical condition, greatly increases sensitivity tiny periodic...
Net ecosystem productivity (NEP) is a key indicator to describe terrestrial functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature maximum light use efficiency ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula> ), NEP value of European calculated combining soil respiration model. results showed that when...
Distributed scatterer interferometric synthetic aperture radar (DS InSAR) technology has been widely used in various fields. Homogeneous pixel selection is a crucial step the use of DS InSAR, directly affecting estimation precision and reliability subsequent parameter calculations. The existing algorithms for selecting homogeneous pixels have inherent limitations, such as requiring many heterogeneous samples strict requirements surrounding required number (SAR) images. To address these...
Coal mining usually causes drastic large gradient deformation in the earth's surface a short period, which leads to formation of collapse basin or pit. The renders generation dense fringes interferogram, leading difficulties phase unwrapping step. In this paper we propose using intensity tracking technique monitor subsidence center. To obtain small information around and pit, use Small Baseline Subset (SBAS) interferometry deformation, after integrate results under two methods complete...
Interferometric synthetic aperture radar (InSAR) technology can obtain one-dimensional surface displacements in the line of sight (LOS). In field mining subsidence, large 3D movements often occur at same time, and hence InSAR derived LOS hardly reflect actual motion areas. To realize monitoring three-dimensional areas, a method for areas that combines SAR pixel offset tracking (OT) an improved subsidence model is proposed this article. First, new functional relationship between horizontal...
Subsidence caused by underground coal mining activities seriously threatens the safety of surface buildings, and interferometric synthetic aperture radar (InSAR) has proven to be one effective tool for subsidence monitoring in areas. However, environmental characteristics areas deformation behavior lead low coherence interferogram. In this case, traditional phase unwrapping methods have problems such as accuracy often fail obtain correct information. Therefore, a novel method is proposed...
Leaf area index (LAI) is a valuable indicator used in vegetation growth monitoring. To optimize the selection according to type of remote sensing data and improve inversion accuracy LAI, this article analyzes influence different bandwidths on model based indices. First, simulation dataset generated by PROSAIL model, basis, 15 indices with high correlation coefficients LAI. Then, analyzing sensitivity these variations bandwidth, coefficient determination (R <sup...
Subsidence of the ground surface caused by coal mining is a serious environmental problem in many countries. Therefore, an effective monitoring and prediction system must be established areas to protect nearby property surrounding environment. In this paper, model proposed that integrates differential interferometry synthetic aperture radar (D-InSAR) technology support vector regression (SVR) algorithm monitor dynamically predict subsidence. D-InSAR first used range influence development...