Despeckling Algorithm of SAR Image Based on EMD and PCA

Wen Bo Wang; Mei Ge Wang

doi:10.4028/www.scientific.net/AMR.366.113

Paper Titles

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Despeckling Algorithm of SAR Image Based on EMD and PCA
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 366Despeckling Algorithm of SAR Image Based on EMD...

Despeckling Algorithm of SAR Image Based on EMD and PCA

Abstract:

This paper proposes a new despeckling algorithm of SAR image based on EMD and PCA. Firstly, it approximately evaluates the noise energy in all levels of IMF according to the energy distribution model of Gaussian white noise decomposed by EMD. And then it uses PCA to decompose IMF. According to the decomposition feature of the noisy signal and the proportion of noise energy in IMF, select proper principal components to reconstruct IMF so as to further remove the IMF noise. Finally, the simulation results show that the new method can effectively delete noise, and better keep the texture details of the edges.

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Periodical:

Advanced Materials Research (Volume 366)

Pages:

113-116

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.366.113

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Online since:

October 2011

Authors:

Wen Bo Wang, Mei Ge Wang

Keywords:

Despeckling, Intrinsic Mode Function (IMF), Principal Component Analysis (PCA), SAR Image

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References

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