NDLI: An Adaptive Polarimetric SAR Speckle Filtering Algorithm Based on Unsupervised Classification

Content Provider	IEEE Xplore Digital Library
Author	Sun, Nan Zhang, Bingchen Wang, Yanfei
Copyright Year	2006
Description	Author affiliation: Graduate School, Chinese Academy of Sciences, 100039 Beijing, CHINA. email: suna308@yahoo.com (Sun, Nan) \|\| Institute Of Electronics, Chinese Academy of Sciences, BeiSiHuanXiLu, No.19, 100080 Beijing, CHINA (Zhang, Bingchen; Wang, Yanfei)
Abstract	In this paper, a new approach is proposed for speckle reduction in full polarimetric SAR images. Being different from others, it adopts an enhanced unsupervised classification method to estimate the parameters of the speckle filter and thus an adaptive moving window is formed to better speckle reduction and preservation of texture information. . Experimental results demonstrate the effectiveness of this new filtering algorithm. Comparisons with other methods are also made.
Starting Page	1
Ending Page	4
File Size	773676
Page Count	4
File Format	PDF
ISBN	9788372076212
DOI	10.1109/IRS.2006.4338135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-24
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Politechnika Warszawska Institute of Electronic Systems, Warsaw University of Technology
Subject Keyword	Parameter estimation Scattering Adaptive filters Vegetation Speckle Filtering algorithms Entropy Eigenvalues and eigenfunctions Matrix decomposition Sun
Content Type	Text
Resource Type	Article

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An Adaptive Polarimetric SAR Speckle Filtering Algorithm Based on Unsupervised Classification