DocumentCode :
1934534
Title :
A Fuzzy Filter for SAR Image De-noising
Author :
Chen, Yilun ; Huang, Fuyue ; Yang, Jian
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
Volume :
2
fYear :
2006
fDate :
16-20 2006
Abstract :
In this paper, a new approach to speckle filtering of synthetic aperture radar (SAR) data is presented. The idea of fuzzy window is firstly presented, where the similarity of scattering mechanism between the central filtered pixel and neighborhood pixel is depicted by the fuzzy membership function. Based on the fuzzy window, a fuzzy filter is proposed; where different pixels in the neighborhood window make different contribution to the local statistics calculation, according to their membership function value. By paying more attention to the similar scattering mechanism pixels, better performance is achieved, especially for edge/structure preserving. The effectiveness of the fuzzy filter is demonstrated using the National Aeronautics and Space Administration Jet Propulsion Laboratory airborne SAR data
Keywords :
filtering theory; fuzzy set theory; image denoising; image resolution; radar imaging; synthetic aperture radar; SAR image denoising; central filtered pixel; fuzzy filter; fuzzy window; scattering mechanism; speckle filtering; synthetic aperture radar; Adaptive filters; Data engineering; Filtering; Image denoising; Noise reduction; Propulsion; Radar scattering; Speckle; Statistics; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345555
Filename :
4129036
Link To Document :
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