The week's pick
Reseach Article
A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling
| Mobile and Embedded Technology International Conference 2013 |
| Foundation of Computer Science USA |
| MECON - Number 1 |
| February 2013 |
| Authors: Amlan Jyoti Das, Anjan Kumar Talukdar, Kandarpa Kumar Sarma |
| a20c0428-31de-4478-9750-6024fe6a1a59 |
Amlan Jyoti Das, Anjan Kumar Talukdar, Kandarpa Kumar Sarma . A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling. Mobile and Embedded Technology International Conference 2013. MECON, 1 (February 2013), 13-19.
Abstract
In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. A MAP Estimator is designed for this purpose which uses Rayleigh distribution for modeling the speckle noise and Laplacian distribution for modeling the statistics of the noise free wavelet coefficients. The parameters required for MAP estimator is determined by technique used for parameter estimation after SWT. The experimental results show that the proposed despeckling algorithm efficiently removes speckle noise from the SAR images.
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