Reflective signatures of unresolved objects.

We present a method for identifying, classifying, and distinguishing unresolved reflective objects. A forward model is developed to predict how the radiance field from a specular surface will be angularly distributed and how samples detected from that field can be used to infer surface profile characteristics. We present lab studies to validate the forward model and demonstrate unresolved object identification and classification.