A SVD-Based Visual Attention Detection Algorithm of SAR Image

  • Shuo Liu
  • Zongjie Cao
  • Jin Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


This paper proposes a new method based on visual attention and singular value decompositions (SVD) for target detection in SAR image. SAR image is confronted with many difficulties such as complicated environment and scarcity of target information. To solve these problems, we proposed the method that combined the pyramid model with singular value decomposition to simulate human retina. The human retina collected information in Non-uniform way. Experimental results validate a effect performance of the method in improving both the efficiency and the accuracy of target detection in complicated environment and weak target condition.


Singular value decomposition (SVD) Visual attention Target detection SAR image 



This work is supported by the National Natural Science Foundation of China (Grant No. 61271287).


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

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