DEMONSTRATION OF WHAT HAVE BEEN ACCOMPLISHED, IDENTIFICATION OF PROBLEMS AREAS,

WHILE THE POWER OF ARTIFICIAL INTELLIGENCE HAS BEEN ESTABLISHED, IT IS ESSENTIALLY UNTAPPED REGARDING IMAGE EXPLOITATION. OUR PROJECT IS INTENDED TO ADDRESS THIS PRESSING PROBLEM; ITS SIGNIFICANCE CAN BE EVIDENCED FROM TWO CRITERIA: (1) INNOATIVENESS: OUR METHODS DE PART SIGNIFICANTLY UPON THE CONVENTIONAL IMAGE PROCESSING TECHNIQUES, AND (2) DIRECT CONTRIBUTION TO RADC: THE RESULTS WILL IMPROVE SIGNIFICANTLY THE EXISTING CAPABILITY. TO PROVE THESE TWO POINTS, WE WILL ACCOMPLISH FOUR TASKS: (1) TO DEMONSTRATE THAT OUR AI APPROACHES ARE MUCH BETTER THAN THE EXISTING METHODOLOGIES FROM BOTH THEORETICAL AND EXPERIMENTAL CONSIDERATIONS; (2) TO IDENTIFY VERY DIFFICULT FEATURE CAPTURING PROBLEMS THAT HAVE TO BE OVERCOME BEFORE CONSIDERING RULE-BASED FEATURE IDENTIFICATION EFFORT; (3) TO DEMOSTRATE A COMBINED RADC/SR & E IMAGE EXPLOITATION CAPABILITY AND THUS PROVE THAT A NEARLY OPERATIONAL AI SYSTEM IS ALREADY AVAILABLE; AND (4) TO DEVELOP A STRATEGIC PLAN FOR DEVELOPING ADVANCED PROCESSORS FOR SOLVING VERY DIFFICULT PROBLEMS USING THE CONCEPT OF IMAGE HIERARCY. THESE WILL BE ACCOMPLISHED BY USING A "FOOTBALL GAME MODEL:" FEATURE EXTRACTION IS ACHIEVED BY SUCCESSIVE FEATURE CAPTURING (EVERY 10 YARDS) UNTIL IDENTIFICATION IS DONE (A TOUCHDOWN); AI PROCESSORS ARE USED TO ACHIEVE AND ASSIST THAT PROCESS, FOR LATTER AS A GUIDANCE SYSTEM.