A5102920262- Traffic Prediction and Management Techniques
- Advanced Computational Techniques and Applications
- Electricity Theft Detection Techniques
- Remote Sensing and LiDAR Applications
- Infrared Target Detection Methodologies
- Automated Road and Building Extraction
- Marine and Coastal Research
- Air Quality Monitoring and Forecasting
- Advanced Radiotherapy Techniques
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Remote Sensing and Land Use
- Mechanical Failure Analysis and Simulation
- Geographic Information Systems Studies
- Anomaly Detection Techniques and Applications
- Wildlife-Road Interactions and Conservation
- Vehicle emissions and performance
- Medical Imaging and Analysis
- Machine Learning and ELM
- Satellite Image Processing and Photogrammetry
- Engineering Diagnostics and Reliability
- Data Management and Algorithms
- Radiomics and Machine Learning in Medical Imaging
- Power System Reliability and Maintenance
Wuhan University
2023
Chinese Academy of Surveying and Mapping
2014-2022
Ministry of Natural Resources
2022
Space Engineering University
2014
With the rapid advancement of technology, modeling travel behavior based on large-scale mobile trajectory data has become a core issue in urban traffic management. Mining complex patterns and this to explain, reproduce, predict human mobility is great significance. Interpretability universality are goals complexity behavior. Although advanced deep learning models increasingly popular prediction, model structures, high training costs, trade-off between accuracy generalization unavoidable...
Abstract. This article introduced the progress of processing WorldView-1 satellite image by using air triangulation method．And different adjustment models were used to improve vendor provided RPC (Rational Polynomial Coefficients) accuracy. WorldVfew-1 images in Beijing are test correction accuracy these models．Results show that systematic errors model can be eliminated a small amount control points. The planar RMSE reach 1.6 pixels (0.9 meter)．
Abstract. Map generalization is a procedure involving much intellective reasoning action, with very wide domain. It also difficult problem in the field of cartography world. This paper makes study on interactive and rulebased digital generalization, map environment for large scale topographic designed realized. A number tests have proved that can be successfully interactively done cooperation human computer if procedures are wisely decomposed. Compared traditional manual method, this shorten...
Abstract. In the study of urban sustainable development, accurate classification land use has become an important basis for monitoring dynamic changes. Hence it is necessary to develop appropriate recognition model urban-rural use. Although deep learning algorithms have a research hotspot in image tasks recent years, and many good results been achieved. But other machine are not going away. Compared with learning, there some advantages disadvantages data dependence, hardware feature...