Bayesian Speckle Noise Reduction Using The Discrete Wavelet Transform

نویسندگان

  • Zhaohui Zeng
  • Ian Cumming
چکیده

| Speckle noise is an inherent property of SAR images. The discrete wavelet transform results in sub-band decompositions of SAR images which have Laplacian point statistics. We propose a Bayesian estimator to perform speckle reduction. We evaluate the speckle reduction results using two measurements: standarddeviation-to-mean ratio and target-to-clutter ratio. We show that good speckle reduction results can be achieved while maintaining the signi cant information of the SAR image.

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تاریخ انتشار 1998