The instant disclosure relates to use of genetic algorithms that produce feature space transforms that are individually trained/evaluated extensively a priori to identify specific objects or features of such specific objects (e.g., man-made structures such as vehicles, buildings, flags, and the like and natural-objects such as human facial features, animals, and the like). A resulting optimized feature space transform results and can be implemented as a very compact algorithm operating on a small reconnaissance vehicle having limited processing capability, for example. The feature space transform can be utilized to identify diverse and distinct objects (e.g., two, five, ten, or more) from a single vehicle (or stationary location). Thus, if the objects of interest include a weapon, a vehicle, and/or a particular building the single vehicle can alternatively apply the single feature space transform upon a scene of interest and distinguish with a high degree of specificity and sensitivity which of the plurality of objects is present. The conclusions drawn from the transform can be wirelessly transmitted for appropriate follow-up, stored to a memory location, and/or quickly acted upon by the vehicle.
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