A5101737703- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Particle Accelerators and Free-Electron Lasers
- Stochastic processes and statistical mechanics
- advanced mathematical theories
- Atomic and Subatomic Physics Research
- Automated Road and Building Extraction
- Particle Detector Development and Performance
- Remote Sensing and LiDAR Applications
- Nuclear physics research studies
- Quantum chaos and dynamical systems
- Cold Atom Physics and Bose-Einstein Condensates
- Superconducting Materials and Applications
- Video Surveillance and Tracking Methods
- Coding theory and cryptography
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Pulsars and Gravitational Waves Research
- Advanced Algebra and Geometry
- Winter Sports Injuries and Performance
- Scientific Research and Discoveries
Taiyuan University of Technology
2023-2024
Nanjing University
2024
Tongji University
2016
In remote sensing images, roads are usually in complex shapes and can be partially occluded by buildings, trees, other surroundings. To extract a complete continuous road network is still challenging job. This paper proposes context-aware extraction method for imagery based on Transformer network, which, foreground feature enhancement module (FFEM) designed to further detailed features such as contours from the shallowest map; Dual-attention (DAM) constructed applied at different skip...
Road extraction from high-resolution remote sensing images can provide vital data support for applications in urban and rural planning, traffic control, environmental protection. However, roads many are densely distributed with a very small proportion of road information against complex background, significantly impacting the integrity connectivity extracted network structure. To address this issue, we propose method named StripUnet dense images. The designed Strip Attention Learning Module...
The Antarctic ice sheet response to the global climate change, specifically flow speed change of glaciers, has been investigated by many researchers. However, most research results cover period since 1970s or after operation LANDSAT series. availability film-based ARGON KH-5 data makes it possible quantify changes in 1960s. To meet challenges processing low quality images, a novel method was developed allow estimating surface motion and reconstructing model simultaneously from stereo images...