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Investigation of Coherent and Incoherent Change Detection Algorithms

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Technical Report

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Naval Postgraduate School Monterey United States

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An investigation of five change detection methods used in synthetic aperture radar SAR is presented in this thesis. This investigation utilizes data gathered from the Air Force Research Laboratory AFRL Sensor Data Management System SDMS in order to compare the various change detection techniques. These change detection methods include the following a incoherent change detection ICCD, b coherent change detection CCD, c alternative coherent change detection ACCD, d log likelihood change statistic LLCS, and e a two-stage change detection, which involves a combination of ICCD and CCD. In addition, a new change detection method for comparison with these five basic methods is developed. This investigation reveals that the LLCS statistic is the most promising method for revealing changes within the SDMS dataset. Furthermore, the authors change detection method yields overall visual improvement in comparison to the two-stage change detection method.

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  • Optical Detection and Detectors

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