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Proceedings Paper

Using new WaveShrink technique and edge information to reduce the SAR speckle
Author(s): Wei Luo; Jianyu Yang; Yimin Pi; Shunji Huang
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Paper Abstract

In order to effectively reduce the speckle noise of SAR image without blurring the useful information, this paper carry out a new way to use better WaveShrink function and better way to use edge information. Our proposed way mainly includes two steps: (1) Getting the SAR images edge information by using wavelet; (2) Using the 1-Dimension Garrote WaveShrink technique based on the edge information to reduce the speckle noise. By using the one-order derivative of Gaussian function and setting a proper dilation scale factor we can detect the edge without the noise. By introducing the Hysteresis threshold technique used by Canny we can let the edge has better connectivity. We using a group of Donoho signal with additive noise to prove the Garrote WaveShrink has better performance than the soft and hard function. In this paper, we use the 1-Dimension WaveShrink technique, so we can more easy to choose the threshold than use 2-Dimension technique. At the end of this paper the comparisons of the proposed way with the 2-Dimension WaveShrink way and the classical Lee filter show very good results.

Paper Details

Date Published: 11 June 2003
PDF: 8 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.467865
Show Author Affiliations
Wei Luo, Univ. of Electronic Science and Technology of China (China)
Jianyu Yang, Univ. of Electronic Science and Technology of China (China)
Yimin Pi, Univ. of Electronic Science and Technology of China (China)
Shunji Huang, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

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