A5035792299- Advanced Image Processing Techniques
- Sparse and Compressive Sensing Techniques
- Video Surveillance and Tracking Methods
- Video Coding and Compression Technologies
- Advanced Vision and Imaging
- Autonomous Vehicle Technology and Safety
- Advanced Image Fusion Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
Changchun University of Science and Technology
2022-2025
Jilin Province Science and Technology Department
2023-2024
The grayscale images of passenger aircraft targets obtained via Synthetic Aperture Radar (SAR) have problems such as complex airport backgrounds, significant speckle noise, and variable scales targets. Most the existing deep learning-based target recognition algorithms for SAR are transferred from optical images, it is difficult them to extract multi-dimensional features comprehensively. To overcome these challenges, we proposed three enhanced methods interpreting based on YOLOv8. First,...
Satellite sensors often capture remote sensing images that contain various types of stripe noise. The presence these stripes significantly reduces the quality and severely affects their subsequent applications in other fields. Despite existence many noise removal methods research, they result loss fine details during destriping process, some even generate artifacts. In this paper, we proposed a new unidirectional variational model to remove horizontal fully considered directional...