DocumentCode
245129
Title
SAR image despeckling based on improved non-local means algorithm
Author
Zhao HongYu ; Wang Quan ; Wu WeiWei ; Wang Qingping ; Yuan NaiChang
Author_Institution
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear
2014
fDate
3-8 Aug. 2014
Firstpage
844
Lastpage
847
Abstract
To efficiently preserve tiny details and sharpness information of synthetic aperture radar (SAR) images while clearly remove the speckles, an improved non-local means method is proposed. Firstly, aiming at the traditional patch-similarity measurement not precise using in SAR image, we define a new variable to obtain a more precise patch-similarity measurement results. Furthermore, the PDF mapping function using for calculating ratio distance is also modified to get the patch-similarity between pixels more accurate. The experimental results show that both the visual quality and evaluation index of the proposed method outperform the traditional three methods: enhance Lee filtering (ELF), the bilateral Filtering (BF) and the NL-means method.
Keywords
radar imaging; synthetic aperture radar; PDF mapping function; SAR image despeckling; evaluation index; nonlocal means algorithm improvement; patch-similarity measurement; ratio distance; synthetic aperture radar images; visual quality; Filtering; Geophysical measurement techniques; Ground penetrating radar; Nickel; Noise reduction; Speckle; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetics in Advanced Applications (ICEAA), 2014 International Conference on
Conference_Location
Palm Beach
Print_ISBN
978-1-4799-7325-5
Type
conf
DOI
10.1109/ICEAA.2014.6903978
Filename
6903978
Link To Document