This paper presents an approach related to automated recognition of small features of movable targets including fast
moving objects such as airplanes, etc. Small features recognition is a challenging problem in both fields: pattern
recognition of particular configurations and of complexes comprising a number of configurations. Specific target
details, although well characterized by their features are often arranged in an elaborated way which makes the
recognition task very difficult and welcomes new ideas (approaches). On the other hand, the variety of small characters
(features) is intrinsically linked to the technology development of the identified targets and is unavoidable. Due to the
complexity of possible technological designs, the feature representation is one of the key issues in optical pattern
recognition. A flexible hierarchical prediction modeling is proposed with application examples.