Track 1: Remote Sensing Technology and Applications
1. Application of optical remote sensing technology in surface feature extraction and classification
2. Optical texture analysis and application of high-resolution remote sensing images
3. Improvement and enhancement of spatial and temporal resolution of optical remote sensing images
4. computer vision-based aerial image processing and feature recognition technology
5. Application of Optical Remote Sensing Technology in Environmental Monitoring and Resource Management
Track 2: Laser Scanning Measurement Technology and Applications
6. Application of laser scanning measurement technology in 3D mapping and building surveying
7. Performance and accuracy of laser measurement instruments and sensors
8. Laser Scanning Data for Underground Target Detection and Underground Object Imaging
9. Laser scanning based data analysis
Track 3: Application of Computer Vision and Machine Learning in Remote Sensing and Surveying and Mapping
10. Innovative Methods of Computer Vision Technology in Remote Sensing Image Interpretation and Analysis
11. Computer algorithms and models based on remote sensing data monitoring
12. deep learning and artificial intelligence applications in remote sensing and survey mapping
13. Optical Imaging and Computer Algorithms for Defect Detection and Recognition
Track 4: Remote Sensing Data Processing and Applications
14. Remote Sensing Data Preprocessing and Correction Methods
15. Remote Sensing Data Fusion and Feature Extraction
16. Remote sensing data-based change detection and monitoring techniques
17. Application of remote sensing data in natural disaster monitoring and prediction