Image matching algorithm based on feature point set for satellite attitude calculation
Cai Xiaodong1, Ye Peijian2*
1. Department of Integration Engineering, China Academy of Space Technology, Beijing 100094, China;
2. School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Gray scale and geometry feature approaches were integrated. Feature point set was selected according to local texture energy distribution and geometry constraint of feature point set was utilized to construct templates describing the holistic feature of the image. A stepped refining image matching algorithm was introduced. Coarse searching was performed first by feature point set registration, thereafter fine searching and angle correction was processed so that the object translation and rotation in the real-time image can be obtained. Compared with traditional image registration methods, this algorithm can enhance the matching speed while maintaining high matching precision with rotation invariance and noise depression capability. The application of such algorithm is verified by simulated experiments.