• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 28 Issue 1
Jan.  2015
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Article Contents
ZHANG Shuaiyi, LI Yongshu, CAI Guolin. Aerial Image Registration Based on Bayesian Decision Theory[J]. Journal of Southwest Jiaotong University, 2015, 28(1): 161-166. doi: 10.3969/j.issn.0258-2724.2015.01.024
Citation: ZHANG Shuaiyi, LI Yongshu, CAI Guolin. Aerial Image Registration Based on Bayesian Decision Theory[J]. Journal of Southwest Jiaotong University, 2015, 28(1): 161-166. doi: 10.3969/j.issn.0258-2724.2015.01.024

Aerial Image Registration Based on Bayesian Decision Theory

doi: 10.3969/j.issn.0258-2724.2015.01.024
  • Received Date: 12 Sep 2013
  • Publish Date: 25 Feb 2015
  • To eliminate the influence of projection difference on aerial image registration in object monitoring, a new image registration method was proposed based on Bayesian decision theory. Distribution rule of projection difference was derived and its impact on image registration was analyzed. A large number of feature matches were extracted to calculate the distribution parameters within the pre-set training sample area. The distribution rule was tested with KIT AIS dataset, and the registered images before and after eliminating projection difference were compared. The difference image results show an improved visual effect and 10% entropy decrease after elimination, which proves that the proposed algorithm is effective to improving the accuracy of aerial image registration.

     

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