Invariant Features for Quantitative Scene Analysis.

Abstract
This report summarizes a study of map matching technique for precision guided reentry vehicles using invariant measurements and scene analysis techniques. A particular case of matching optical and side looking radar images is considered in detail. Both geometric and sensor transformations are developed. Edge registration including a new vector representation of scenes which may be used to derive edge operators and unifies most edge operators currently in use, is presented. Invariant measurements depend on algebraic invariant theory and perceptual experience. The set of moment invariants are considered which are invariant to translation, rotation, size and mirror images, for computer for use. Finally, hierarchical search techniques which are logarithmetically efficient are presented for map matching. These techniques are illustrated with correlation measures of picture values, edge measurement and moment invariants. These techniques appear very effective for map matching. (Author)

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