  SAR technology has been intensively implemented for geo-sensing and mapping
purposes due to its advantages of high azimuthal resolution and
weather-independent operation compared to other remote sensing technologies.
Modelling SAR image data consequently becomes a prominent topic of interest,
especially for data populations with impulsive signal features, which are
common in SAR images of urban areas. A recently proposed model named
Cauchy-Rician has manifested great potential in modelling extremely
heterogeneous SAR images, yet the work only provided a MCMC-based parameter
estimator that demands considerable computational power. In this work, a novel
analytical parameter estimation method based on algebraic moments is proposed
to provide stable and accurate estimation of the parameters of the
Cauchy-Rician model with significant improvement on computation speed.
