Title :
SAR Speckle Reduction Based on Nonlocal Means Method
Author :
Lu, Bibo ; Zhang, Linlin ; Xing, Fuqiang
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiao, China
Abstract :
Synthetic aperture radar (SAR) images are inherently affected by speckle noise, which is due to the coherent nature of the scattering phenomenon. This paper presents a novel SAR speckle reduction method base on nonlocal means (NLM) filter. NLM is applied to remove additive noise after taking the logarithm of the original speckle noise. The proposed method can preserve edges and protect more fine details. Results on real speckle SAR images are given. We have also compared our method with some related methods.
Keywords :
filtering theory; image denoising; radar imaging; speckle; synthetic aperture radar; SAR; additive noise; nonlocal means filter; nonlocal means method; speckle noise; speckle reduction; synthetic aperture radar image; Additive noise; Anisotropic magnetoresistance; Computer science; Filters; Image edge detection; Image restoration; Noise reduction; Radar scattering; Speckle; Synthetic aperture radar; SAR image; nonlocal means; speckle noise;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.292
