Glossary for Geospatial Science

principal components:  A statistical technique for reducing an image’s dimensionality.  Principal components chooses uncorrelated linear combinations of a set of rasters in such a way that each successively extracted linear combination, called a principal component, has a smaller variance.  If the rasters have significant linear intercorrelations, the first few components will account for a large part of the total variance.