عنوان مقاله [English]
Imageries received from aerial hyperspectral or satellite sensors record reflected data from earth surface in more than a hundred spectral bands. Hyperspectral imageries are used in different applications and different methods have been proposed and developed to extract data from these imageries. Diagnosing inconspicuous features or anomaly detecting is one of the most important methods in extracting data from hyperspectral imageries.
The basic idea in designing hyperspectral sensors is based on the response each element shows in different sections of electromagnetic spectrum. Each element shows a specific reflective response in different sections of electromagnetic spectrum based on its own molecular structure. Different elements and materials show unique reflective response in similar situations.
Hyperspectral imageries have diverse and varied applications, among which we can refer to environmental monitoring, agricultural application, identifying unexpected events, geology, mines exploration and urban and regional studies.