Accession Number : ADP003023

Title :   AI (Artificial Intelligence) Analysis for Automatic Target Recognition,

Corporate Author : GEORGIA INST OF TECH ATLANTA ENGINEERING EXPERIMENT STATION

Personal Author(s) : Spiessbach,A. J. ; Gilmore,J. F.

Report Date : 31 JAN 1984

Pagination or Media Count : 12

Abstract : Research directed toward the goal of integrating contextual scene information into the automatic target classification process is described. The basic approach adopted is an information fusion and feedback architecture centered around an artificial intelligence (AI) production system. A parallel organization of specialized algorithms extracts complementary contextual discriminants from the local, global, and temporal image data. A high-level relation data structure integrates this imagery information with non-imagery scene data, such as a priori knowledge of terrain, environment, and expected threat, thereby providing a symbolic representation of the total dynamic scene. Extensive domain-specific and general knowledge applied to the scene representation by an AI Expert System exploits the associative evidence to deduce additional facts, infer signatures, and perform collective target class decisions. In addition, an AI global/local control strategy routes derived knowledge and revised hypotheses to all extraction algorithms to bootstrap overall preprocessor intelligence and provide adaptive optimization through feedback. (Author)

Descriptors :   *Research management, *Artificial intelligence, *Target recognition, Image processing, Algorithms, Information processing, Battlefields

Distribution Statement : APPROVED FOR PUBLIC RELEASE