Volume 32 Issue 02
Feb.  2006
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Cai Xiaodong, Ye Peijian. Image matching algorithm based on feature point set for satellite attitude calculation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(02): 171-175. (in Chinese)
Citation: Cai Xiaodong, Ye Peijian. Image matching algorithm based on feature point set for satellite attitude calculation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(02): 171-175. (in Chinese)

Image matching algorithm based on feature point set for satellite attitude calculation

  • Received Date: 12 Jul 2005
  • Publish Date: 28 Feb 2006
  • 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.

     

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