Sub‐region non‐local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics-Reference-Cited by-同舟云学术

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Sub‐region non‐local mean denoising algorithm of synthetic aperture radar images based on statistical characteristics

Published:2022-04-26 Issue:10 Volume:16 Page:2665-2679
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Ma Wei¹²^ORCID,Xin Zhihui¹²^ORCID,Liao Guisheng³,Sun Yu¹²,Wang Zhixu¹²,Xuan Jiayu¹²

Affiliation:

1. School of Physics and Electronic Information Yunnan Normal University Kunming China

2. Yunnan Key Lab of Opto‐electronic Information Technology Yunnan Normal University Kunming China

3. National Laboratory of Radar Signal Processing Xidian University Xi'an China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12516

Reference32 articles.

1. Stationary-Wavelet-Based Despeckling of SAR Images Using Two-Sided Generalized Gamma Models

2. Adaptive wavelet thresholding for image denoising and compression

3. Conditional image diffusion

4. Yi Y. Zhang G. Jian W. Huang W.:Distributed representation for neighborhood‐based collaborative filtering. In:2017IEEE International Symposium on Multimedia (ISM). pp.531–535(2017).https://doi.org/10.1109/ISM.2017.104.

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