ADVANCED PATTERN RECOGNITION TECHNIQUES IN IMAGE ANALYSIS

THE HUMAN VISUAL SYSTEM PERFORMS SO EFFECTIVELY OVER A RANGE OF ILLUMINATION FOR GREATER THAN THAT WHICH COMPUTER IMAGE PROCESSING SYSTEMS ARE CAPABLE OF OPERATING. THE AUTOMATED ANALYSIS OF VISUAL DATA FOR PATTERN RECOGNITION AND OBJECT IDENTIFICATION COMPARABLE TO THE HUMAN VISUAL SYSTEM HAS BEEN ONE OF THE MOST CHALLENGING PROBLEMS OF THIS ERA. THE PROBLEM ADDRESSED IN THIS PROPOSAL IS THE DEVELOPMENT OF BASIC TECHNIQUES TO EXPLORE POTENTIAL APPLICATION OF MULTISPECTRAL DATA FOR AUTOMATIC PATTERN RECOGNITIONS. THIS RESEARCH WILL EMPHASIZE THE USE OF BOTH THE SPATIAL AND SPECTRAL CHARACTERISTICS OF THE DATA AND WILL ESTABLISH THE EFFECTIVENESS OF USING THE IDS PROCESS AND A RULE BASED SYSTEM TO PERFORM THE OBJECTIVES USING SPACECRAFT SENSOR DATA.