Infinite Number of Looks Prediction in Polsar Filtering by Linear Regression

In this paper, the application of the synthetic aperture radar (SAR) infinite number of looks prediction (INLP) filter is extended to polarimetric SAR (PoISAR) speckle filtering. The scalar linear regression rule has been adapted to PolSAR context in order to preserve the polarimetric information. Experimental results using simulated and airborne PolSAR data show that the proposed approach improved the polarimetric filtering criteria.