a novel sar formation targets recognition algorithm using topology structure
- Paper number
IAC-19,B1,IP,2,x48957
- Author
Mr. Hao Wang, China, National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing Aerospace Automatic Control Institute
- Coauthor
Dr. Ruiguang Hu, China, Beijing Aerospace Automatic Control Institute
- Coauthor
Dr. Shibo Gao, China, Beijing Aerospace Automatic Control Institute
- Coauthor
Mr. Songzhi Jin, China, Beijing Aerospace Automatic Control Institute
- Coauthor
Mr. Liping Xiao, China, Beijing Aerospace Automatic Control Institute
- Year
2019
- Abstract
This paper proposes a SAR formation targets recognition algorithm based on topology structure of the formation. Taking advantage of the topology structure invariance of relative geometric positions of targets in a group, the algorithm can recognize and locate vehicles, corner reflectors, clustered artificial facilities and other formation targets in SAR images. The algorithm can reduce the false alarm rate for SAR images with ground clutter effectively, and increase the recognition accuracy. Experimental results demonstrate that the algorithm can suppress the influence of ground clutter, and is quite robust to heavy image noise and partial targets loss. This algorithm has promising application value in surveillance，automatic testing of synthetic aperture radar, etc.
- Abstract document
- Manuscript document
(absent)