Probabilistic insight into the application of image processing to the mapping of clutter and noise regions in a radar surveillance volume

In a non Gaussian radar detection problem the choice of a signal processing algorithm depends upon whether the target is embedded in weak background noise (a strong signal problem) or strong clutter (a weak signal problem). This paper gives probabilistic insight into the use of image processing for partitioning a radar surveillance volume into clutter and noise regions. An example the supports the argument presented in this paper is presented.