Volume 39 Issue 2
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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2010  >  39(2): 200-203

ZHANG De-xiang, WU Xiao-pei, GAO Qing-wei, GUO Xiao-jing. Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 200-203. doi: 10.3969/j.issn.1001-0548.2010.02.010
Citation: ZHANG De-xiang, WU Xiao-pei, GAO Qing-wei, GUO Xiao-jing. Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 200-203. doi: 10.3969/j.issn.1001-0548.2010.02.010
shu

Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform

doi: 10.3969/j.issn.1001-0548.2010.02.010
  • 1.

    Key Lab of Intelligent Computing and Signal Processing,Anhui University Hefei 230039;

  • 2.

    The School of Electronic Science and Technology,Anhui University Hefei 230039

  • Received Date: 2008-09-01
  • Rev Recd Date: 2008-11-10
  • Publish Date: 2010-04-15
  • A novel and efficient fusion method for polarimetric SAR image based on stationary contourlet transform is proposed. Several single-polarimetric-channel SAR intensity images are decomposed using stationary contourlet transform. Low-pass coefficients and the directional high-frequency coefficients are selected by optimal weighted sum of intensities algorithm for fusion. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can get better visual effect and preserves image details, and the significant information of original image like textures and contour details is well maintained.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform

doi: 10.3969/j.issn.1001-0548.2010.02.010
  • 1. Key Lab of Intelligent Computing and Signal Processing,Anhui University Hefei 230039;
  • 2. The School of Electronic Science and Technology,Anhui University Hefei 230039
  • Received Date: 2008-09-01
  • Rev Recd Date: 2008-11-10
  • Publish Date: 2010-04-15

Abstract: A novel and efficient fusion method for polarimetric SAR image based on stationary contourlet transform is proposed. Several single-polarimetric-channel SAR intensity images are decomposed using stationary contourlet transform. Low-pass coefficients and the directional high-frequency coefficients are selected by optimal weighted sum of intensities algorithm for fusion. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can get better visual effect and preserves image details, and the significant information of original image like textures and contour details is well maintained.

ZHANG De-xiang, WU Xiao-pei, GAO Qing-wei, GUO Xiao-jing. Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 200-203. doi: 10.3969/j.issn.1001-0548.2010.02.010
Citation: ZHANG De-xiang, WU Xiao-pei, GAO Qing-wei, GUO Xiao-jing. Fusion of Polarimetric SAR Image Based on Stationary Contourlet Transform[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 200-203. doi: 10.3969/j.issn.1001-0548.2010.02.010
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