Home > Papers

 
 
EMD-SIFT based Deep Space Image Matching Method
Yin Mengzheng 1 #,Wu Xuechen 2,Li Xiaoyu 2,Feng Hongqi 3,Wang Qiang 2 *
1.Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001
2.Department of Control Science and Engineering, Harbin Institute of Technology, 150001
3.China Astronaut Research and Training Center,100000
*Correspondence author
#Submitted by
Subject:
Funding: Research Fund for the Doctoral Program of Higher Education of China（No.No. 20102302110033）
Opened online:31 May 2013
Accepted by: none
Citation: Yin Mengzheng,Wu Xuechen,Li Xiaoyu.EMD-SIFT based Deep Space Image Matching Method[OL]. [31 May 2013] http://en.paper.edu.cn/en_releasepaper/content/4544596
 
 
The paper puts forward a kind of scale invariant feature matching method for asteroid image sequences. In which we apply EMD (Empirical Mode Decomposition) to extract the features from image sequences, SIFT (scale invariant feature transform) to match the extracted features, and affine transform to stretch and rotate the images. We can achieve a global view of the scanned asteroid surface. Experiment results demonstrate the excellent performance of the EMD-SIFT based method in mosaicking the asteroid image sequences.
Keywords:Empirical Mode Decomposition; Scale Invariant Feature Transform; Image Match; Deep Space Exploration
 
 
 

For this paper
  • ● PDF (0B)
  • ● Revision 0 　　
  • ● Print this paper
  • ● Recommend this paper to a friend
  • ● Add to my favorite list

    Saved Papers

    Please enter a name for this paper to be shown in your personalized Saved Papers list

Tags
Add yours

Related Papers

Statistics
PDF Downloaded 327
Bookmarked 0
Recommend 6
Comments Array
Submit your papers