Complex coherence estimation based on adaptive refined lee filter

All right reserved. Polarimetric synthetic aperture radar interferometry (PolInSAR) data procedures and their application are based on the estimation of polarimetric complex coherence, which are influenced by size of windows and filter methods. In this paper, the adaptive refined Lee filter, which based on traditional refined Lee filter, is used to estimate the interferometric coherence. The size of filter window is changed by the correlation coefficient between the central sub window and the neighboring sub window. Correlation coefficient which is larger than the threshold value means to the homogeneous pixels in the selected window, and then boxcar filter is chosen to estimate complex coherence. When maximum of correlation coefficient in difference windows sizes is smaller than the threshold value, the refined Lee filter is used to estimate the complex coherence. The efficiency and advantage of the new algorithm are demonstrated with E-SAR data sets. The results show that the influence of speckle noise and edge information is improved; more accurate complex coherence estimated by selected window size and selected pixels increase the accurate of forest parameters inversion.