What I did was to take photos of mountain chains running parallel to the image plane, to prevent perspective distortion. Then I segmented the images in black and white, and converted the sky-mountain interface into a 1D signal. I then interpreted it as a WAV sound file and computed its frequency plot just as with the synthetic fBM() signals I analyzed earlier. I made sure the images were high enough resolution that the FFT algorithm would have something meaningful to work with.

The results seem to indicate that, indeed, mountain profiles follow a -9dB/octave frequency distribution, which corresponds with B=-3 or H=1 or G=0.5, or in other words, Yellow Noise.

xD

Tellement stylé !!!