Hyperspectral Change Detection: Methodology and Challenges

Hyperspectral change detection research has increased as airborne hyperspectral systems become more prevalent and passes over the same areas of land become available. Change detection methods attempt to identify anomalous changes between scenes by suppressing background and accentuating changes. Certain challenges such as natural vegetation and illumination changes as well as misregistration make the change detection process more difficult. A study of these difficulties and approaches for handling them is provided here.