Polarimetric SAR Denoising Using Adaptive Prediction Technique

In this paper, we propose a new filtering scheme based on adaptive predictive technique that operates simultaneously in polarisation and spatial domains. The weighting coefficients of the proposed filter are computed adaptively using the least mean square (LMS) algorithm. The LMS algorithm introduces a new parameter which is the updating step size. This parameter controls the performance of the proposed filtering algorithm. The optimal step size should satisfy a good compromise between speckle reduction and preservation of the texture and the polarimetric information. The experimental results show that, using both spatial and polarisation information, we get filtering performances better than using only the multipolarisation or the spatial information.