THE PROCESS OF EXTRACTION OF INDUSTRIAL TERRAIN FEATURES FROM RADAR IMAGERY IS NOT AUTOMATED.

THE PROCESS OF EXTRACTION OF INDUSTRIAL TERRAIN FEATURES FROM RADAR IMAGERY IS NOT AUTOMATED. CURRENTLY THIS FEATURE EXTRACTION IS DONE PRIMARILY BY HIGHLY TRAINED PHOTOINTERPRETERS. THIS IS EXPENSIVE AND WITH THE INCREASING AMOUNT OF RADAR IMAGERY, AUTOMATION IS BECOMING IMPORTANT. IN RECENT YEARS A WIDE RANGE OF TOOLS FROM IMAGE PROCESSING AND ARTIFICIAL INTELLIGENCE HAVE EMERGED WHICH CAN BE APPLIED TO THIS PROBLEM. WE PROPOSE THE REFINEMENT AND TESTING OF IMAGE PROCESSING AND ARTIFICIAL INTELLIGENCE TECHNIQUES DEVELOPED BY L.N.K. CORPORATION ON RADAR IMAGERY AND THE DESIGN AND IMPLEMENTATION OF AN AUTOMATIC INDUSTRIAL TERRAIN FEATURE EXTRACTION SYSTEM. IN PHASE I, WE WILL BEGIN THE ALGORITHM REFINEMENT AND TESTING AND DEVELOP THE SYSTEM DESIGN. PHASE II WILL CONSIST OF FURTHER ALGORITHM DEVELOPMENT AND SYSTEM IMPLEMENTATION AND TESTING. THE PROPOSED FEATURE EXTRACTION SYSTEM IS BASED ON L.N.K.'S ARTIFICIAL INTELLIGENCE SEARCH PARADIGM (SSS*) DEVELOPED FOR PROBLEM SOLVING AND PATTERN ANALYSIS WHICH INVOLVES SIMULTANEOUS SEARCH OF A PROBLEM-MODEL SPACE AND A PROBLEM-DATA SPACE WITH FEEDBACK BETWEEN THE TWO SEARCHES. LNK IS CURRENTLY DEVELOPING A SHIP CLASSIFICATION SYSTEM FOR INVERSE SYNTHETIC APERTURE RADAR (ISAR) USING THIS PARADIGM.