Date of Award
Doctor of Philosophy (PhD)
Department of Electrical and Computer Engineering
Gilbert L. Peterson, PhD.
Accurate change detection (CD) results in urban environments is of interest to a diverse set of applications including military surveillance, environmental monitoring, and urban development. This work presents a hyperspectral CD (HSCD) framework. The framework uncovers the need for HSCD methods that resolve false change caused by image parallax. A Generalized Likelihood Ratio Test (GLRT) statistic for HSCD is developed that accommodates unknown mis-registration between imagery described by a prior probability density function for the spatial mis-registration. The potential of the derived method to incorporate more complex signal proccessing functions is demonstrated by the incorporation of a parallax error mitigation component. Results demonstrate that parallax mitigation reduces false alarms.
DTIC Accession Number
Vongsy, Karmon M., "Removing Parallax-Induced False Changes in Change Detection" (2014). Theses and Dissertations. 574.