Data Interpretation for Spectral Sensors with Arbitrary Spectral Responses

Remote sensing of the earth's resources from space-based sensors has evolved in the past forty years from a scientific experiment to a commonly used technological tool. The scientific applications and engineering aspects of remote sensing systems have been studied extensively. However, most of these studies have been aimed at spectral sensors with non- overlapping bands, which means that the spectral responses of different bands have little between-band overlaps. Numerous conventional spectral sensors have dispersive bands which collect independent data in wavelength order [1].