1. A method of identifying clutter in an image represented by a two-dimensional array of pixel intensities, said method comprising the steps of: applying a detection scheme to said two-dimensional array to identify portions of said image having a signal-to-noise ratio greater than a given threshold, wherein each of said portions is centered at a position in said image that is represented by a two-dimensional coordinate pair generated by said detection scheme; applying a classification scheme to each of said portions to generate fractal feature values associated therewith, wherein each of said portions is classified as being one of a target and non-target based on said fractal feature values associated with each of said portions; assigning each of said portions to a group based on a distance from said position of each of said portions to another of said portions that is its nearest neighbor; and performing at least one test for each said group using said fractal feature values associated with each of said portions in each of said groups, wherein a failure of any of said at least one test by any one of each said group identifies each of said portions associated with said any one of each said group as clutter in said image.