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30 October 2009 Adaptive speckle reduction in SAR images combining directionlet transform with local texture direction
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749542 (2009) https://doi.org/10.1117/12.832875
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
In this paper, according to the statistical characteristics of SAR images, we develop a new speckle reduction method based on directionlet transform by constructing a local texture-direction detector to adapt to the textural properties of the scene. Before despeckling, direction of texture is calculated according to the edge map. We take the standard deviation as the criterion while eight different directions arc considered. After directionlet transform, a Bayesian estimator is then applied to the decomposed data to estimate the best value for the noise-free coefficients. The denoising performance is among the state-of-the-art techniques based on standard wavelet transform.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Ma and Feng Ruan "Adaptive speckle reduction in SAR images combining directionlet transform with local texture direction", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749542 (30 October 2009); https://doi.org/10.1117/12.832875
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