The paper proposes a novel dual-SAR CFAR detector based on joint metrics of interferogram's magnitude and phase for slow ground moving targets.Firstly

under the frame of multiplicative model

based on the complex Wishart-distribution

and bringing in the theory of clutter classification brought forward by Frery et al.

the new IMP metric's statistical models are deduced according to utilizing the reciprocal of a square root of Gamma and the square root of generalized inverse Gaussian law.The group of new models can precisely model the IMP metric corresponding to different clutter areas with broad degrees of homogeneity.Secondly

the new models' estimators are acquired based on the Mellin transform

which can estimate the contained parameters quickly and accurately

guaranteeing the new distributions' fitting precision.Therefore

automatically detecting the slow ground moving targets by the IMP metric can be accomplished.According to the experiments performed on real SAR images

using the Kullback-Leibler (KL) distance

mean square error (MSE) and Kolmogorov-Smirnov (KS) test as similarity measurements

the experimental results not only show the effectiveness of the IMP metric's statistical models and estimators

but also prove the superior performance of the novel detector.