A5101949837- Remote Sensing and Land Use
- Environmental and Agricultural Sciences
- Environmental Changes in China
- Robotics and Sensor-Based Localization
- Aeolian processes and effects
- 3D Surveying and Cultural Heritage
- Image Processing and 3D Reconstruction
- Image and Object Detection Techniques
- Advanced Neural Network Applications
- Remote Sensing and LiDAR Applications
- Plant Ecology and Soil Science
- Electric Power System Optimization
- Tree-ring climate responses
- 3D Shape Modeling and Analysis
- Tropical and Extratropical Cyclones Research
- Industrial Vision Systems and Defect Detection
- Computer Graphics and Visualization Techniques
- Climate change and permafrost
- Climate variability and models
- Arctic and Antarctic ice dynamics
- Cryospheric studies and observations
- Reservoir Engineering and Simulation Methods
- Soil and Environmental Studies
- Evaluation Methods in Various Fields
- Atmospheric Ozone and Climate
Southeast University
2023-2024
Shenzhen Polytechnic
2024
Tsinghua University
2018
China University of Geosciences
2016
Xinjiang Entry-Exit Inspection and Quarantine Bureau
2003-2006
Dana (United States)
2001
Abstract Current approaches to defect detection and segmentation make essential use of machine learning methods. To develop lightweight models is one key tasks for many applications. In this work, we present a trilateral parallel feature extraction with multi-feature aggregation network (TriMFANet) surface segmentation. TriMFANet, the top lateral feature-rich used capture detailed information. The other two laterals, efficient semantic (ESFE) reverse ESFE, leverage Hadamard product attention...
Three-dimensional semantic segmentation is a key task of environment understanding in various outdoor scenes. Due to the sparsity and varying density point clouds, it becomes challenging obtain fine-gained results. Previous point-based voxel-based methods suffer from expensive computational cost. Recent 2-D projection-based methods, including range-view (RV), bird-eye-view (BEV), multiview fusion can run real time, but information loss during projection leads low accuracy. Also, we find that...
Abstract Low-frequency intraseasonal oscillations in the tropical atmosphere general circulation models (GCMs) were studied extensively many previous studies. However, simulation of quasi-biweekly oscillation (QBWO), which is an important component oscillations, GCMs has not received much attention. This paper evaluates QBWO features over South China Sea early [May–June (MJ)] and late [August–September (AS)] summer National Center for Atmospheric Research (NCAR) Community Atmosphere Model,...
Based on the conventional weather observational data of stations around Tarim Basin, a set categorical standard to forecast sandstorm in Basin is up. At same time, sandstorms are divided into four types from synoptic meteorological point view, warning system established.