Examining the impact of spectral uncertainty on hyperspectral data exploitation

Hyperspectral imaging systems are typically characterized in a laboratory environment to determine band centers and bandwidths associated with the collected data. This procedure is commonly referred to as spectral calibration. Generally, this wavelength information is assumed to be accurate and spatially-invariant. Exploitation of hyperspectral data utilizes this information for atmospheric compensation and/or resampling of library data for use in detection and identification applications. The spectral information can be inaccurate due to system aberrations, such as spectral smile, or due to spectral calibration error. This work examines the impact of spectral smile on hyperspectral exploitation.