A5012576415- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Atmospheric chemistry and aerosols
- Generative Adversarial Networks and Image Synthesis
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Wind and Air Flow Studies
- Remote-Sensing Image Classification
- Methane Hydrates and Related Phenomena
- UAV Applications and Optimization
- Video Surveillance and Tracking Methods
- Ocean Acidification Effects and Responses
- Cruise Tourism Development and Management
- Precipitation Measurement and Analysis
- Air Quality Monitoring and Forecasting
- Ocean Waves and Remote Sensing
- Video Analysis and Summarization
- Seismology and Earthquake Studies
- Oceanographic and Atmospheric Processes
- Marine and coastal ecosystems
- Prosthetics and Rehabilitation Robotics
- Smart Parking Systems Research
- Ocular and Laser Science Research
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2025
Wuhan University
2016-2025
Wuhan Institute of Technology
2025
Beijing Academy of Artificial Intelligence
2024
Shanghai Artificial Intelligence Laboratory
2024
Xi'an Institute of Optics and Precision Mechanics
2021
Chinese Academy of Sciences
2021
BOE Technology Group (China)
2021
Zhejiang Normal University
2014
Satellite technology is an efficient tool, which can provide valuable observations for coastal areas from space. Compared to conventional bathymetric surveying approaches, remote sensing based shallow water bathymetry retrieval methods have been widely used in recent years. Various empirical models proposed deriving of water, and prior topographic information required construct models. Traditional studies tend select a cloud-free image map the topography. As result, addition selection...
The surface water and ocean topography (SWOT) satellite, carrying a Ka-band radar interferometer, is designed to detect global hydrological, ecological, climatic changes through high-precision measurements of elevation level promote the sustainable use conservation resources. accuracy elevations inland from SWOT was verified globally in this article by comparing data with Hydroweb G-REALM data, so as better utilize advanced remote sensing observation capabilities hydrology. Through...
Abstract Quantifying the role of air‐sea CO 2 exchange is essential for accurately estimating global carbon balance, which dependent on spatial and temporal resolution ocean surface dioxide partial pressure (). When dealing with as a vast complex system, most existing studies tend to partition into small‐scale regions. To account interactions environmental variables across multiple regions, we used machine learning algorithms holistically reconstruct 20‐year map at high 4 × km based products...
Quantification of the distribution CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> dry-air mixing ratio (XCO ) is crucial for understanding carbon cycle. However, clouds and aerosols in line light create spectral interference with signals. This can result a low yield XCO retrievals, thus limiting application these valuable satellite data. In this study, we developed an innovative methodology to obtain maps high spatial temporal...
Continuous development of remote sensing technology can rapidly and accurately extract secondary disaster information, such as the area various disasters. However, in extraction process, some disasters should be initially classified identified. In view this concept, a lightweight fully Convolutional Neural Network (CNN) model Earthquake – Flood–Fire Cyclone (EFFC)-Net is proposed. Two modules, EFFC_Block EFFC_Tran_Block, which are used for feature transformation, respectively, introduced....
Carbon observation satellites based on passive theory (e.g., OCO-2/3, GOSAT-1/2, and TanSat) have relatively high carbon dioxide column concentration (XCO2) accuracy when the conditions are met. Passive data bias coverage deficiencies due to cloud cover, low albedo, low-light conditions, aerosol scattering, resulting in that cannot meet demand for high-precision, all-day, all-weather XCO2 monitoring. Active detection urgently needed support global sources, sinks, neutrality. China intends...
Spatio-temporal coherency is a major challenge in synthesizing high quality videos, particularly human videos that contain rich global and local deformations. To resolve this challenge, previous approaches have resorted to different features the generation process aimed at representing appearance motion. However, absence of strict mechanisms guarantee such disentanglement, separation motion from has remained challenging, resulting spatial distortions temporal jittering break spatio-temporal...
The planetary boundary layer height (PBLH) has a significant impact on the energy and material exchange in atmosphere. traditional gradient method (GM) determines PBLH based change of aerosol profile. It is susceptible to effect complex atmospheric conditions, which leads uncertainties estimation PBLH. Here, random forest (RF) algorithm that considers vertical distribution aerosols proposed find under conditions. three minimum local peaks range correction signal profile 7 other variables,...
A Fabry-Perot interferometer sensor based on a fiber-tip bubble-structure micro-cavity is proposed, fabricated, and demonstrated for hydrostatic pressure sensing transverse load sensing. segment of well-cleaved multimode fiber with core diameter 62.5μm processed chemical etching solution HF 40% the bubblestructure fabricated by using arc discharge at end fiber. The can be considered as two-beam one beam from silica-air interface left side bubble other air-silica right bubble. broadband light...
Abstract. Ground-based lidar, working as an effective remote sensing tool, plays irreplaceable role in the study of atmosphere, since it has ability to provide atmospheric vertical profile. However, appearance noise a lidar signal is unavoidable, which leads difficulties and complexities when searching for more information. Every de-noising method its own characteristic but with certain limitation, will vary atmosphere changes. In this paper, universal algorithm proposed enhance SNR...
Abstract. Accurate estimation of the wind profile, especially in lowest few hundred meters atmosphere, is great significance for weather, climate and renewable energy. Nevertheless, Monin–Obukhov similarity theory fails above surface layer over heterogeneous underlying surface, resulting an unreliable profile obtained from conventional extrapolation methods. To solve this problem, we propose a novel method that combines power law (PLM) with random forest (RF) algorithm to extend profiles...