In order to raise signal-to-noise ratio（SNR）of InSAR interferograms

this paper proposes a Wavelet-Wiener combined（WWC）filter in view of the respective merits of Wavelet transform and Wiener filter.The WWC algorithm and its computer program are developed to raise SNR of interferograms.To validate the proposed filter

the localized area around Phoenix in Arizona of USA is selected as the testing site and the ERS-1/2 C-band interferogram is utilized as the source data for filtering.Several indicators

including visualization effect

standard deviation of phase derivatives

number of residues and accuracy in DEM derived interferometrically

are taken into account to assess the effectiveness of this filter.The tested results show that WWC filter has some prominent advantages in terms of denoising

edge protection and improving DEM accuracy

if compared with two typical approaches presented previously

i.e.

Wavelet soft-threshold filter and Goldstein filter.