8 May 2018 Examining the impact of spectral uncertainty on hyperspectral data exploitation
Author Affiliations +
Abstract
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph Meola, "Examining the impact of spectral uncertainty on hyperspectral data exploitation", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106440L (8 May 2018); doi: 10.1117/12.2303725; https://doi.org/10.1117/12.2303725
PROCEEDINGS
12 PAGES


SHARE
Back to Top