A research on the SAR interferogram noise reduction with the application of wavelet transforms

Interferometric phase noise reduction is a key approach in Synthetic aperture radar (SAR) interferometry. As an effective means in image processing, wavelet transform has been progressively exploited to reduce the phase noise. This paper first introduces a DWT-based noise reduction algorithm. Then, by using the stationary wavelet transform (SWT), we make an amelioration of this algorithm and simulate both algorithms with raw data. Based on the simulation results, we find the connection between reduction effect and the type of wavelet transform. At last, a new scheme, which has good performance both in reducing the phase noise and maintaining the continuity of the interferometric strips especially in high-noise area, is addressed. In the raw-data simulation, the results show that the new algorithm is feasible and effective.