DETECTION AND IDENTIFICATION OF TARGETS OF INTEREST USING AN AUTOMATED MULTISPECTRAL PROCESS

APPLIED ANALYSIS INC. HAS DEVELOPED A NEW DATA PROCESSING TECHNOLOGY THAT WHEN USED IN CONJUNCTION WITH MULTISPECTRAL SENSORS CAN PROVIDE MUCH HIGHER TARGET ACQUISITION AND IDENTIFICATION PERFORMANCE THAN CURRENT IMPLEMENTATIONS CAN ACHIEVE. THE CHARACTERISTICS AND DEMONSTRATED PERFORMANCE OF THE APPLIED ANALYSIS SPECTRAL ANALYTICAL PROCESS (AASAP) APPEAR TO BE IDEALLY SUITED FOR PROVIDING THE LEVEL OF OBJECT DISCRIMINATION PERFORMANCE NEEDED FOR SIGNATURE EXTRACTION OF TARGETS OF INTEREST FROM MULTISPECTRAM IMAGERY AND THEN DETECTING AND IDENTIFYING MULTIPLE OCCURRENCES OF THE TARGETS OF INTEREST. TARGETS OF INTEREST CAN RANGE FROM NATURAL PHENOMENOLOGY SUCH AS VEGETATION AND GEOLOGIC FORMATIONS TO MAN MADE PHENOMENOLOGY OF ANY CONFIGURATION. AASAP PROMISES TO PROVIDE HIGHER LEVELS OF DETECTION THAN OTHER EXISTING CAPABILITIES DUE TO THE ABILITY TO DETECT TARGETS THAT ARE SUB-PIXEL IN SIZE. IT SHOULD PROVIDE STRONGER DISCRIMINATION AGAINST CLUTTER, BASED ON ITS DEMONSTRATED STRONGER CLUTTER DISCRIMINATION CAPABILITY THAN THOSE OF PRIOR ART TECHNOLOGIES. THE DEMONSTRATED ROBUSTNESS OF AASAP AGAINST VARIATIONS IN BACKGROUND CONDITIONS MAY ALSO PROVE ESSENTIAL FOR HANDLING BATTLEFIELDS AS WELL AS AREA SURVEILLANCE SCENARIOS.