DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-9 ( Sep, 2016 ) | |||||||||
Paper Title |
Enhanced SAR Image Co- Registration With Minimum Eigenvalues | |||||||||
Author Name |
A. S. Amein | |||||||||
Affilition |
Assoc. Prof., EEE, University of Strathclyde, Glasgow, UK | |||||||||
Pages |
83-87 | |||||||||
Abstract |
Image co-registration is one of critical steps required for Digital Elevation Model (DEM) generation. The traditional Image co-registration algorithms are divided into two main categories, Area Based Matching (ABM) Methods and Feature Based Matching (FBM) Methods, each of these categories has its own advantages and drawbacks. In this paper, a new algorithm for image co-registration step based on the combination between ABM and FBM is proposed, where, Minimum Eigenvalue algorithm is used as FBM and compared to Harris corner detector algorithm. The performance of the proposed algorithm is evaluated by coherence factor. Results show that the propose algorithm is more efficient than using only Harris corner detector algorithm or Minimum Eigenvalue algorithm. Keywords- FBM, ABM, Minimum Eigenvalue, Coherence factor, co-registration | |||||||||
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