Volume 4 Issue 6
Dec.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(6): 658-665
Wang Lu, Zhang Fan, Li Wei, Xie Xiao-ming, Hu Wei. A Method of SAR Target Recognition Based on Gabor Filter and Local Texture Feature Extraction[J]. Journal of Radars, 2015, 4(6): 658-665. doi: 10.12000/JR15076
Citation: Wang Lu, Zhang Fan, Li Wei, Xie Xiao-ming, Hu Wei. A Method of SAR Target Recognition Based on Gabor Filter and Local Texture Feature Extraction[J]. Journal of Radars, 2015, 4(6): 658-665. doi: 10.12000/JR15076
shu

A Method of SAR Target Recognition Based on Gabor Filter and Local Texture Feature Extraction

doi: 10.12000/JR15076

  • (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China)

Funds:

The National Natural Science Foundation of China (61302164), The Fundamental Research Funds for the Central Universities (YS1404), The Beijing Higher Education Young Elite Teacher Project (YETP0500)

  • Received Date: 2015-06-17
  • Rev Recd Date: 2015-10-16
  • Publish Date: 2015-12-28
    Abstract
  • This paper presents a novel texture feature extraction method based on a Gabor filter and Three-Patch Local Binary Patterns (TPLBP) for Synthetic Aperture Rader (SAR) target recognition. First, SAR images are processed by a Gabor filter in different directions to enhance the significant features of the targets and their shadows. Then, the effective local texture features based on the Gabor filtered images are extracted by TPLBP. This not only overcomes the shortcoming of Local Binary Patterns (LBP), which cannot describe texture features for large scale neighborhoods, but also maintains the rotation invariant characteristic which alleviates the impact of the direction variations of SAR targets on recognition performance. Finally, we use an Extreme Learning Machine (ELM) classifier and extract the texture features. The experimental results of MSTAR database demonstrate the effectiveness of the proposed method.

     

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