Volume 1 Issue 2
Jun.  2012
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Zheng Jin, You Hong-jian. Change Detection with SAR Images Based on Radon Transform and Jeffrey Divergence[J]. Journal of Radars, 2012, 1(2): 182-189. doi: 10.3724/SP.J.1300.2012.10068
Citation: Zheng Jin, You Hong-jian. Change Detection with SAR Images Based on Radon Transform and Jeffrey Divergence[J]. Journal of Radars, 2012, 1(2): 182-189. doi: 10.3724/SP.J.1300.2012.10068

Change Detection with SAR Images Based on Radon Transform and Jeffrey Divergence

doi: 10.3724/SP.J.1300.2012.10068
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  • Received Date: 2011-12-31
  • Rev Recd Date: 2012-04-09
  • Publish Date: 2012-04-28
  • Focusing on the change detection with multitemporal Synthetic Aperture Radar (SAR) images, this paper presents a new approach based on the comparison of the density of the projections produced by Radon transform. The projections include the structure information, which helps when the local statistical distribution does not change. Edgeworth approach is used to fit the statistical distribution model of the projections. Jeffrey divergence is proposed as a measurement of the difference between two densities for that it is numerically stable and robust with respect to noise. This approach is demonstrated feasible according to the processing test using real satellite SAR images.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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