1. A system for object classification wherein the natural image of a radar return is isolated and processed for subsequent classification, said system comprising: a radar system, said radar system having a predetermined range and providing a return for the detection of an object within said predetermined range; a natural imaging device, said natural imaging device providing a real-time visual of the environment; a computer, wherein said computer executing a software program that associates said return of said radar system with the real-time visual of the natural imaging device using a perspective mapping transformation to provide an isolated natural image of said return; said computer further executing an algorithm for processing the image of each of said at least one attention window to generate an orientation-selective filter associated with each at least one attention window; said computer further executing a sparse code generation algorithm, whereby each image of each of said at least one attention window is transformed via orientation-selective filters by said sparse code generation algorithm to provide a sparse code representation of each image; and an associative learning framework, whereby said associative learning framework classifies each of said sparse code representation, and said associative learning algorithm identifies subsequent sparse code representation by comparing said subsequent sparse code representation with known classifications of sparse code representation.