An Image Fusion-Based Multi-Target Discrimination Method in Minimum Resolution Cell for Ground-Based Synthetic Aperture Radar
- Resource Type
- Conference
- Authors
- Cheng, YanBo; Huang, HaiFeng; Lai, Tao; Ou, PengFei
- Source
- 2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Artificial Intelligence, Networking and Information Technology (AINIT), 2023 4th International Seminar on. :637-641 Jun, 2023
- Subject
- Computing and Processing
Robotics and Control Systems
Seminars
Visualization
Image resolution
Laser radar
Azimuth
Radar imaging
Optical imaging
Ground-based synthetic aperture radar
Minimal resolution cell
Image fusion
- Language
This paper proposes a method to distinguish multiple targets in the minimum resolution cell of ground-based synthetic aperture radar. The proposed method fuses ground-based synthetic aperture radar imaging with optical imaging captured from the same viewing angle, which enables the matching of target points between the two types of imaging. By utilizing the optical images, multiple targets within the minimum resolution unit of ground-based synthetic aperture radar can be distinguished with improved visibility. The method also allows for the extraction of radar information such as the azimuth angle for each target point.