The polarization SAR filter algorithm based on the maximum SNR
Ruixia Wang, Guohua Peng, Wei Lin · 2012
It proposed a fused denoising algorithm of the Polarization SAR image based on maximize signal to noise ratio(SNR). According to meeting the requirements of the maximum SNR at the image filtering, this method made the smallest mean square error as the convergent condition. It filtered and fused for HH and VV directions of the Polarization SAR images respectively. Compared with the traditional Lee filtered algorithm and adaptive threshold algorithm, it was evident that the method did improve the readability of the image and ameliorate image quality.