A5059553652- Ionosphere and magnetosphere dynamics
- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
- Coastal and Marine Dynamics
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Atmospheric Ozone and Climate
- Geomagnetism and Paleomagnetism Studies
- Seismic Imaging and Inversion Techniques
- Non-Invasive Vital Sign Monitoring
- Geophysics and Gravity Measurements
- Solar and Space Plasma Dynamics
- Methane Hydrates and Related Phenomena
- Earthquake Detection and Analysis
- Meteorological Phenomena and Simulations
- ECG Monitoring and Analysis
Xiamen University
2023-2024
Beijing Meteorological Bureau
2022-2023
Center For Remote Sensing (United States)
2023
Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide high‐resolution, all‐weather, and day‐night imaging revolutionized our understanding of various geophysical processes. Recent advancements SAR technology, that is, developing new satellite missions, enhancing signal processing techniques, integrating machine learning algorithms, have significantly broadened the scope...
This study introduces an improved VMD based signal decomposition methodology for non-contact heartbeat estimation using millimeterwave (mmWave) radar. Specifically, we first analyze the model of mmWave radar system. The Variational Mode Decomposition (VMD) integrated with Newton-Raphson-based optimizer (NRBO) algorithm are sequentially utilized cardiac mechanic (CMS) reconstruction. accuracy is enhanced by adaptively optimizing parameters including intrinsic mode functions (IMFs) and penalty...
The Michelson Interferometer for Global High-resolution Thermospheric Imaging (MIGHTI) on board the ICON satellite provides effective measurement of horizontal winds in mesosphere and lower thermosphere (MLT) region. In order to verify accuracy wind, this study uses measurements meteor radar Wuhan simulation results a wind field model (HWM14) compare analyze MIGHTI/ICON whole year 2020. comparative analysis indicated that two datasets from are strongly correlated (r = 0.65, 0.76) with an RMS...
The HISEA-1 synthetic aperture radar (SAR) minisatellite has been orbiting for over two years since its launch in 2020, acquiring numerous high-resolution images independent of weather and daylight. A typical important application is the observation ocean waves, essential dynamical phenomena. Here, we proposed a new semi-automatic empirical method to retrieve wave parameters from images. We first applied some automated processing methods remove non-wave information artifacts, which largely...
This study investigates the variations of middle and low latitude sporadic-E (Es) layers in response to a geomagnetic storm. Es are observed by five ionosondes located Eastern Asian sector. The critical frequencies (foEs) at six stations increased sequence from high after IMF/Bz turning southward. Lomb–Scargle analysis shows amplification semidiurnal oscillation amplitude vertical height during disturbance. Modeling results NCAR Thermosphere-Ionosphere-Electrodynamics General Circulation...
Abstract Based on global total electron content (TEC) maps from the International Global Navigation Satellite Systems Service (IGS), ionospheric perturbations during 2014–2015 sudden stratospheric warming (SSW) event were investigated. The analyses revealed both phase‐shifted semidiurnal and 14.5‐day periodic signal with zonal wavenumber 0 in IGS TEC, indicating an enhanced lunar tidal impact ionosphere SSW period. oscillation TEC presents obvious latitudinal variation, maximum appearing...
Sea surface winds and waves are very important phenomena that exist in the air–sea boundary layer. With advent of climate change, cascade effects bringing more attention to these as warmer sea temperatures bring about stronger winds, thereby altering global wave conditions. Synthetic aperture radar (SAR) is a powerful sensor for high-resolution wind observations has accumulated large quantities data. Furthermore, deep learning methods have been increasingly utilized geoscience, especially...