A saliency-based approach is presented to the transfer of landmark information between robotic vehicles participating in over-the-horizon maneuvering processes. By identifying chromatic diversity of naturally complex scenes with degenerated version of fractal attractors, probe vehicles detect and upload as-is representation of scene specific primaries as annotation of the local geographics. In reference to the annotation, future visitors adaptively restore the saliency pattern to be matched with landmarks in encountered scenes. Through experimental studies, the saliency based geographics annotation was demonstrated to significantly reduce the complexity of noisy background.