NDLI: De-speckling method based on non-local means and coefficient variation of SAR image

Content Provider	IET Digital Library
Author	Chen, Shaobo Hou, Jianhua Zhang, Hua Da, Bangyou
Abstract	Proposed is a speckle reduction method for synthetic aperture radar (SAR) images. This method can be considered as a new adaptive non-local (NL) means filtering technique since different weights based on Euclidean distance and coefficient variation (CV) of SAR images are applied. The Euclidean distance of similarity windows and CV of the search window can be calculated first; next, the decay parameter will be adjusted by the CV; then, the speckled-image pixel will be restored by weighted averaging based on the new weight. The visual and numerical experimental results show that the proposed filter can suppress speckle effectively and keep details (such as edge and texture) simultaneously. The proposed filter outperforms the existing state-of-the-art de-speckling filters based on NL means in terms of runtime.
Starting Page	1314
Ending Page	1316
Page Count	3
ISSN	00135194
Volume Number	50
e-ISSN	1350911X
Issue Number	Issue 18, Aug (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/50/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.0630
Journal	Electronics Letters
Publisher Date	2014-08-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Adaptive Nonlocal Means Filtering Technique Coefficient Variation Decay Parameter Despeckling Method Euclidean Distance Filtering Method in Signal Processing NL Means Filtering Technique Nonlocal Means Optical, Image And Video Signal Processing Radar Equipment Radar Imaging SAR Image Search Window Speckle Reduction Method Speckled Image Pixel Synthetic Aperture Radar System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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