1. A method for estimating the fractal dimension of the image for an artificial object's fractal surface, comprising the steps of: receiving radar return signals reflected from the artificial object's fractal surface; combining said return signals with frequency stepped pulse signals consisting of a train of N pulses, where N is the number of frequency steps, to produce detected pulse return signals; applying a Fourier Transform to said detected pulse return signals to produce a high resolution profile signal; decomposing said high resolution profile signal into Scales of scaling basis coefficients and wavelet basis coefficients using a pyramid transform in conjunction a Discrete Wavelet Transform to calculate said scaling basis coefficients and said wavelet basis coefficients; and estimating the fractal dimension of the artificial object's fractal surface with a neural network.