Examining the impact of spectral uncertainty on hyperspectral data exploitation

Joseph Meola

doi:10.1117/12.2303725

8 May 2018 Examining the impact of spectral uncertainty on hyperspectral data exploitation

Joseph Meola

Author Affiliations +

Proceedings Volume 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV; 106440L (2018) https://doi.org/10.1117/12.2303725
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2303725

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