A5100753750- Meteorological Phenomena and Simulations
- Remote Sensing and Land Use
- Precipitation Measurement and Analysis
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Environmental Changes in China
- Climate variability and models
- Flood Risk Assessment and Management
- Landslides and related hazards
- Fire effects on ecosystems
- Coastal and Marine Dynamics
- Environmental Quality and Pollution
- Remote Sensing in Agriculture
- Tropical and Extratropical Cyclones Research
- Soil Moisture and Remote Sensing
- Advanced Algorithms and Applications
- Cardiac Fibrosis and Remodeling
- Environmental and Agricultural Sciences
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Aeolian processes and effects
- Cardiovascular Function and Risk Factors
- Air Quality and Health Impacts
- Advanced Image and Video Retrieval Techniques
- Energy, Environment, and Transportation Policies
PLA Information Engineering University
2023-2025
The First Affiliated Hospital, Sun Yat-sen University
2025
Zhongshan Hospital
2024-2025
Fudan University
2024-2025
Sun Yat-sen University
2025
China Meteorological Administration
2004-2023
Ministry of Natural Resources
2023
Central China Normal University
2006-2022
World Bank Group
2020
Beijing Union University
2019
The new generation of spaceborne laser altimeter, the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), which can simultaneously generate reflections on water surface underwater, is a potential data source for exploring depth in nearshore environments. To achieve this scientific goal, accurate bathymetric photon extraction needed. This study proposed pre-pruning quadtree isolation (PQI) method with changing threshold. Firstly, step introduced. Photons are transformed into different...
Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine generalization ability to new scenes. To overcome these problems, a novel three-stage multi-prototype relational network (Thr-MPRNet) is proposed for few-shot ALS transferring knowledge from well-annotated photogrammetric clouds. In MPRNet, 3D learning structure containing feature learner and relation built learn...
Abstract A new classification scheme based on the gradient boosting decision tree (GBDT) algorithm is developed to improve accuracy of rain area delineation for daytime, twilight, and nighttime modules using Advanced Himawari Imager board Himawari-8 (AHI-8) geostationary satellite data U.S. Geological Survey digital elevation model data. The GBDT able efficiently manage nonlinear relationships among high-dimensional without being affected by overfitting problems. module utilizes several...
An accurate, high-resolution precipitation estimation based on rain gauge and radar observations is essential in various meteorological applications. Although numerous studies have demonstrated the effectiveness of merging two information sources rather than using separate sources, approaches that simultaneously consider local reflectivity, neighborhood observations, temporal are much less common. In this paper, we present a new framework for real-time quantitative (QPE). By formulating QPE...
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) equips with a novel photon-counting LiDAR system, which can generate underwater reflections in nearshore environments. However, due to the water reflection, scattering, absorption, distribution of bathymetric photons data varies depth. existing photon extraction algorithms need more adaptability seafloor topography. changing density fluctuation topography make noise removal full challenges. This study proposed algorithm using...
The removal performance of typical refractory organic compounds in landfill leachate was investigated during the electrochemical (EC) oxidation and anaerobic process combined treatment system this paper. results indicated that by highly effective. toxicity notably decreased after biodegradability improved. concentration acid with low molecular weight increased from 28% to 90% based on assays EC process. digestion could further remove residual compounds. At a hydraulic retention time (HRT) 16...
Satellite-derived bathymetry (SDB) combining the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) measurements multispectral images is expected to fill gap of depth data in global coastal areas. However, effect radiometric resolution remains be clarified. This study quantifies performance Landsat ETM+, OLI, OLI-2 through a mature workflow provides reference for selecting with suitable bathymetry. The results Culebra, Puerto Rico, show that 8 OLI best, an RMSE 2.53 m. affects sensor's...
Studies have revealed that catechol-O-methyltransferase (COMT) and dopaminegic receptor2 (DRD2) modulate human attention bias for palatable food or tobacco. However, the existing evidence about modulations of COMT DRD2 on attentional facial expressions was still limited. In study, 650 college students were genotyped with regard to Val158Met TaqI A polymorphisms, assessed using spatial cueing task. The results indicated underpinned individual difference in negative emotional (P = 0.03) Met...
ABSTRACT While weather radar is widely used for quantitative precipitation estimation ( QPE ) in C hina and many other countries, the performance of unsatisfactory. A major reason inaccurate application conventional Z–R relationships. In this study entire vertical profile reflectivity VPR taken into consideration a new relationship converting to rainfall rate developed. The obtained by proposed terrain‐based weighted random forests TWRF method. method regards 21 levels constant altitude plan...
Radar-based rainfall estimation is one of the most important inputs for various meteorological applications. Although exciting progresses have been made in this area, accurate real-time still a significant opening topic that requires practical modeling. The research study presented letter improves accuracy by proposing random forest and linear chain conditional random-field-based spatiotemporal model (RANLIST). To apply estimation, implementing approach presented. advantages are listed as...
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) can measure the global surface with unprecedented resolution. Accurate classification of land sea data is prerequisite for generating high-quality products. Current land-sea methods rely on assisted or manual participation, automation degree cannot meet needs massive processing. Therefore, using difference photon-counting LiDAR data, an index called normalized photon rate-elevation ratio (NPRER) designed. Inspired by this, automatic...
Autonomous driving has to deal with human-vehicle interaction, in which one of the key tasks is detect pedestrians. In this paper, HOG, a classical algorithm pedestrian detection field used for extracting features and SVM classifier training. The feature obtained through training testing using INRIA dataset data acquired by autonomous vehicles. Meanwhile, we design visualization system better application on vehicles detecting pedestrian. This detects image input users calls that been trained...
The quantitative precipitation estimation by weather radar plays an important role in observations and forecasts of meteorological processes. National Minute Quantitative Precipitation Forecast system China (MQPF), providing location-based refined short-term imminent forecasting services, filled the gap official minute service products China’s field. However, due to technical limitations itself complexity atmosphere, corresponding relationship between echoes surface is unstable. Based on...
Shape features are an important feature of image, It is the result carrying on description to picture target shape. Using shape retrieval image may enhance accuracy and efficiency retrieval. This paper introduced three key aspects realize based feature: feature, extraction match standard multimedia-content-description interface — MPEG-7.
Debris flow is a serious disaster that frequently happens in Sichuan province China. The relationship between precipitation and debris one of the important components prediction research. We chose geographic information system (GIS) as tool to estimate hazard point used statistical techniques calculate attenuation coefficient effective antecedent precipitation. With such methodologies, logistic regression model was comparatively analyze contribution rate two types combination: 1) intraday...