Volume 25 Issue 5
May  1999
Turn off MathJax
Article Contents
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)
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.

     

  • loading
  • 1. Goldstein R M, Zebker H A, Werner C L. Satellite radar interferometry:two-dimensional phase unwrapping. Radio Science, 1988, 23(4):713~720 2. Lin Q, Vesecky J F, Zebker H A. New approach in interferometric SAR data processing. IEEE transaction on Geoscience and Remote Sensing,1992,30(3):560~567 3. Cohen A I, Daubechies I, Feauveau J C. Biorthogonal bases of compactly supported wavelets. Commun Pure Appl Math, 1992, 45(5):485~560 4. Strickland R N, Hahn H I. Wavelet transform methods for object detection and recovery. IEEE Trans on Image Proc, 1997, 6(5):724~735 5. Daubechies I. Ten lectures on wavelets. Philadelphia:SIAM, 1992 6. Mallet S,Hwang W L. Singularity detection and processing with wavelets. IEEE Trans on Inform Theory, 1992, 38(2):617~643 7. 胡庆东,毛士艺. 干涉SAR图像水平地形效应的消除及降噪方法. 北京航空航天大学学报,1999,25(4):402~405
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(2722) PDF downloads(1098) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return