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Proceedings Paper

Adaptive speckle reduction in SAR images combining directionlet transform with local texture direction
Author(s): Ning Ma; Feng Ruan
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 9 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749542 (30 October 2009); doi: 10.1117/12.832875
Show Author Affiliations
Ning Ma, PLA Univ. of Science and Technology (China)
Southeast Univ. (China)
Feng Ruan, Nanjing Univ. of Information Science and Technology (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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