Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection

Yang Xue-zhi; Chen Jing; Zhou Fang; Lang Wen-hui; Zheng Xin; Li Guo-qiang

doi:10.11999/JEIT150314

Volume 37 Issue 12

Jan. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(12): 2991-2999

Yang Xue-zhi, Chen Jing, Zhou Fang, Lang Wen-hui, Zheng Xin, Li Guo-qiang. Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2991-2999. doi: 10.11999/JEIT150314

Citation:

Yang Xue-zhi, Chen Jing, Zhou Fang, Lang Wen-hui, Zheng Xin, Li Guo-qiang. Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2991-2999. doi: 10.11999/JEIT150314

Citation:

Yang Xue-zhi, Chen Jing, Zhou Fang, Lang Wen-hui, Zheng Xin, Li Guo-qiang. Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2991-2999. doi: 10.11999/JEIT150314

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Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection

doi: 10.11999/JEIT150314

1.
2.
(School of Computer and Information, Hefei University of Technology, Hefei 230009, China)

Funds:

The National Natural Science Foundation of China (61371154, 41076120, 61271381, 61102154)

Received Date: 2015-03-17
Rev Recd Date: 2015-08-28
Publish Date: 2015-12-19

Abstract

Abstract

A Non Local Means (NLM) filtering based on Homogeneous Pixels Preselection (NLM-HPP) is proposed to solve the problem of preserving structural feature and polarimetric scattering properties in speckle reduction of Polarimetric SAR (PolSAR) images. Firstly, this method combines statistical property and polarimetric scattering mechanism to select homogeneous pixels in the filtering process. Secondly, the loss function of structure is introduced to improve the accuracy of similarity measure between pixels in NLM method. Finally, it averages the covariance matrices of homogeneous pixels with the weights according to the refined similarity measure, inducing efficient reduction of the speckle in PolSAR images. The implementation results on real PolSAR images, compared with the Refined Lee filter, Scattering-Model-Based speckle filter and two kinds of Non Local Means filter, demonstrate that the proposed method can reduce speckle effectively, and further retain structural information and polarimetric information in PolSAR images.
- Polarimetric SAR (PolSAR),
- Non Local Means (NLM),
- Structure preserving,
- Polarimetric information,
- Homogeneous pixels preselection

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References(25)

References

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