Comparative analysis of regression line fitting algorithms in blind method of mixed noise variance evaluation in radar images

Radar images obtained by remote sensing systems as a rule are corrupted by mixed additive and multiplicative noise. To carry out high-efficiency filtering, the information about noise statistics in these images is required. However, in many practical situations such information is a priori unknown. Therefore methods able to evaluate variances simultaneously for both noise components are necessary.