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Citation: Yuan Yunneng, Hu Qingdong, Mao Shiyiet al. Wavelet Transform-Based Approach for Interferometric SAR Image Noise Reduction[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999, 25(5): 509-512. (in Chinese)

Wavelet Transform-Based Approach for Interferometric SAR Image Noise Reduction

  • Received Date: 31 Mar 1998
  • Publish Date: 31 May 1999
  • Thermal and "Speckle" noise is an obstacle to obtain high accuracy phase in interferometric SAR images. According to the main sources of noise in interferogram, the noise character and the characteristics of interferometric SAR processing, biorthogonal wavelet transform with symmetry and compact support is introduced into the reduction of noise in interferometric SAR images. Based on the wavelet frame representation, a new algorithm for noise suppression in interferogram is proposed. Compared with the traditional low pass filter and median filter, it is showed that applying wavelet transform to the noise reduction in interferometric SAR images is promising. Furthermore, wavelet-transform-denoise is also the adaptive algorithm based on the observation data.

     

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