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A Hierarchy System for Automatic Target Recognition in SAR Images

  • Zongyong Cui
  • Zongjie Cao
  • Jianyu Yang
  • Jian Cheng
  • Yulin Huang
  • Liyuan Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 202)

Abstract

A novel SAR image automatic target hierarchy recognition (ATHR) system based on SVM and D-S evidence theory is proposed in this chapter. This system has three hierarchies corresponding to three features. PCA, LDA and NMF features are extracted from images without preprocessing, and are fed to SVM classifier. However, not all features are used in each recognition process. At each recognition process, a threshold is used to determine the used features and hierarchy depth. Experiments on MSTAR public data set demonstrate that the proposed system outperforms the system combining the outputs of three features directly.

Keywords

SAR ATR Hierarchy recognition SVM D-S evidence theory 

Notes

Acknowledgments

This work is supported by Fundamental Research Funds for the Central Universities under Projects ZYGX2009Z005.

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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Zongyong Cui
    • 1
  • Zongjie Cao
    • 1
  • Jianyu Yang
    • 1
  • Jian Cheng
    • 1
  • Yulin Huang
    • 1
  • Liyuan Xu
    • 1
  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China

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