- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced SAR Imaging Techniques
- Cryospheric studies and observations
- Landslides and related hazards
- Soil Moisture and Remote Sensing
- Remote Sensing and LiDAR Applications
- Geophysical Methods and Applications
- earthquake and tectonic studies
- Geophysics and Gravity Measurements
- Sentiment Analysis and Opinion Mining
- Consumer Market Behavior and Pricing
- Advanced Text Analysis Techniques
- Earthquake Detection and Analysis
- Ionosphere and magnetosphere dynamics
- Groundwater and Watershed Analysis
- Satellite Image Processing and Photogrammetry
- Rock Mechanics and Modeling
- Stock Market Forecasting Methods
- Climate change and permafrost
- Geological and Geochemical Analysis
- Healthcare and Environmental Waste Management
- Geomagnetism and Paleomagnetism Studies
- Impact of Light on Environment and Health
- Remote Sensing in Agriculture
- Coastal and Marine Dynamics
Guangzhou University
2018-2025
NARI Group (China)
2024
Anhui Medical University
2024
Southeast University
2024
Hefei University of Technology
2016-2019
Central South University
2014-2017
Chengdu University of Technology
2017
Continuous monitoring of building displacement is crucial for urban structural safety. While traditional methods are costly, Interferometric Synthetic Aperture Radar (InSAR) offers a cost‐effective alternative, providing long‐term data. However, due to the insensitivity SAR radar north‐south displacement, using InSAR alone can only measure settlement and east‐west displacement. To address this limitation, paper presents three‐dimensional (3D) deformation extraction model. The model embeds...
Subways have been an important method for relieving traffic pressures in urban areas, but ground subsidence, during construction and operation, can be a serious problem as it may affect the safety of its operation that surrounding buildings. Thus, conducting long-term deformation monitoring modeling subway networks are essential. Compared with traditional geodetic methods, Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique offers wider coverage denser...
Because of the advantages low cost, large coverage and short revisit cycle, Landsat 8 images have been widely applied to monitor earth surface movements. However, there are few systematic studies considering error source characteristics or improvement deformation field accuracy obtained by image. In this study, we utilize 2013 Mw 7.7 Balochistan, Pakistan earthquake analyze spatio-temporal elaborate how mitigate sources in extracted from multi-temporal images. We found that stripe artifacts...
Topographic residuals in differential interferometric synthetic aperture radar (InSAR) measurements are mainly caused by inaccurate external digital elevation model (DEM). Accurate separation of the phase component contributed topographic plays an important role retrieval deformation time series from InSAR observations. Even though can be modeled and estimated framework multitemporal SAR interferometry (MTInSAR), it is not clear what optimal processing strategy how accurate estimation reach....
Coastal areas are usually densely populated, economically developed, ecologically dense, and subject to a phenomenon that is becoming increasingly serious, land subsidence. Land subsidence can accelerate the increase in relative sea level, lead series of potential hazards, threaten stability ecological environment human lives. In this paper, we adopted two commonly used multi-temporal interferometric synthetic aperture radar (MTInSAR) techniques, Small baseline subset (SBAS) Temporarily...
Land subsidence is a common geological hazard in urban areas. It can be caused by human activities such as land reclamation and subway construction. However, rapid urbanization accelerate the progress of these activities. Therefore, spatial-temporal analysis provide guarantee for progress. In this study, Shenzhen, one fastest urbanizing cities China, selected continued monitoring. We collected 153 Sentinel-1A images from December 2015 to July 2021 utilized an interferometric point target...
Abstract: Over the past decade, global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed insufficient capacity for emergency disposal medical waste in numerous countries regions. Particularly during epidemics diseases, exhibits new characteristics such as accelerated growth rate, heightened risk level, more stringent requirements. Consequently, there is an urgent need advanced theoretical approaches that can perceive, predict, evaluate, control...
The Tsaoling Landslide in Taiwan has captured attentions of researchers worldwide due to its frequent catastrophic failure and distinctive features. Thanks the launch TerraSAR-X/TanDEM-X (TSX/TDX) constellation, retrieval global DEM with high spatial resolution accuracy becomes possible, which is extremely useful for study natural hazards (e.g., landslides) globally. We attempt here first time track recent landslide movements by analyzing series reconstructed from TSX/TDX image pairs....
The orbit error caused by the inaccuracy of state vector can lead to fringes in differential interferograms, which impede estimation deformation SAR interferometry (DInSAR) applications. Usually, a set polynomial coefficients for an entire image is obtained removal. However, plane influenced overfitting case that satellites do not have precise orbit. In this paper, patch-based method proposed fit plane. new divides into several overlapping patches azimuth and range directions. Every patch...
Over the past two decades, Leizhou Peninsula has suffered from many geological hazards and great property losses caused by land subsidence. However, absence of a deformation map whole peninsula impeded government in making necessary decisions concerning hazard prevention mitigation. This study aims to provide evolution (subsidence uplift) 1992 2010. A modified stacking procedure is proposed surface with JERS, ENVISAT, ALOS1 images. The shows that subsidence mainly occurs along coastline...
Forest height is of great significance for forest resource management and carbon sink estimation. Tomographic synthetic aperture radar (TomoSAR) technology provides an effective means the accurate inversion this parameter. Several multi-polarization (SAR) images are generally required to obtain height. However, it common that only a small number single-polarization can be acquired, due complexity systems limitations observation cycles, there may one fully polarimetric image available. This...
External Digital Elevation Models (DEMs) with different resolutions and accuracies cause topographic residuals in differential interferograms of Multi-temporal InSAR (MTInSAR), especially for the phase-based StaMPS-PS. The PS selection deformation parameter estimation StaMPS-PS are closely related to spatially uncorrected error, which is directly affected by external DEMs. However, it still far from clear how high resolution accurate DEM affects results (e.g., calculation) on platforms (X...
Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band P-band radar. It usual to apply nonparametric spectral estimation methods with a large number snapshots over areas. The iterative adaptive approach amplitude phase (IAA-APES) can obtain high resolution; however, it only tends work well small snapshots. To overcome this problem, paper proposes the based on maximum likelihood...
Synthetic aperture radar tomography (TomoSAR) has been proven to be a useful way reconstruct vertical structure over forest areas with P-band images, on account of its three-dimensional imaging ability. In the case small number non-uniformly distributed acquisitions, compressive sensing (CS) is generally adopted in TomoSAR. However, performance CS depends selected hyperparameter, which closely related noise pixel. this paper, overcome limitation, we propose sparse iterative covariance-based...
Synthetic aperture radar tomography (TomoSAR) is a useful tool for retrieving the three-dimensional structure of buildings in urban areas, especially datasets with high spatial resolution. However, among previous TomoSAR estimators, some cannot retrieve 3-D objects elevation resolution, maintain and require selection hyperparameter. To overcome these limitations, this paper proposes new nonparametric iterative adaptive approach model based on Bayesian information criterion (IAA-BIC)...
Abstract This study monitors the land subsidence of whole Pearl River Delta (PRD) (area: ~ 40,000 km 2 ) in China using ALOS1/PALSAR data (2006–2011) through SBAS-InSAR method. We also analyze relationship between and coastline change, river distribution, geological structure as well local terrain. The results show that (1) with average velocity 50 mm/year occurred low elevation area front part delta coastal area, regions subsiding faster than 30 2006 2011 is larger 122 ; (2) order estimated...
This paper presents a novel method for surface water body detection and digital elevation model (DEM) generation simultaneously using multigeometry TanDEM-X pairs. The amplitude, coherence, slope maps of the data are used to detect bodies. An iterative strategy by considering perpendicular baseline phase error is generate fused DEM. proposed can overcome disadvantages empirical threshold-based methods geometric distortion in single-geometry synthetic aperture radar (SAR) detection. It also...