The Physical Perspective of Correlated SAR Clutter

The development of SAR technology brings a large number of high-resolution SAR images. SAR clutter in these images contains rich environmental information which is inappropriate to be modeled by a single simple statistical model as traditional approaches. It is very critical to reveal the physical information stored in these images for further interpretation and applications of SAR images. This paper aims to give a physical perspective of the correlated SAR clutter starting from the coherent scatterer model. The Gaussian coherent scatterer (GGCS) model kicks off the first step in modeling the physical processes of clutter and the probabilistic graphical network is expected to be an effective intelligent realization of the GGCS model.