Terrain categorization using a background spectral library

We describe development of a background spectral library for northeastern Virginia, USA, based on hyperspectral images and an extensive land cover database. The library consists of mean spectra and standard deviations measured in 14 areas of uniform land cover. Terrain categorization products include classification maps and fractional abundance maps determined by linear mixture analysis. There is excellent qualitative agreement between the linear unmixing results and the known land covers.