Paper
11 June 2003 Using new WaveShrink technique and edge information to reduce the SAR speckle
Wei Luo, Jianyu Yang, Yimin Pi, Shunji Huang
Author Affiliations +
Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467865
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
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.
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Wei Luo, Jianyu Yang, Yimin Pi, and Shunji Huang "Using new WaveShrink technique and edge information to reduce the SAR speckle", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467865
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KEYWORDS
Speckle

Synthetic aperture radar

Crystals

Wavelets

Edge detection

Wavelet transforms

Image filtering

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