Applications of Wavelet Analysis on the Differential Propagation Phase Shift Data De-Noising

摘要

Using a numerical simulation of the forward differential propagation shift (ΦDP) data of polarimetric radar,the principle and performing steps of noise reduction using wavelet analysis are introduced in detail.Profiting from the multi-scale analysis,different scale and type noises can be identified according to the characteristics of noise,and further suppressed in each deconstruction level by penalty,default,or ΦDP penalty threshold strategy proposed based on the ΦDP attribute.