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Proceedings Paper

Performance assessment of atmospheric correction algorithms for Vis-SWIR hyperspectral data
Author(s): Amy E. Stewart; Robert D. Kaiser
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Paper Abstract

The performance of a variety of atmospheric correction algorithms applied to VIS-SWIR hyperspectral data are assessed quantitatively. Data from HYDICE obtained under desert, forest, tropical, and alpine conditions were tested. In addition to comparing retrieved reflectance spectra from ground truth, performance is assessed in terms of the impact of various atmospheric correction techniques on material identification.

Paper Details

Date Published: 23 August 2000
PDF: 10 pages
Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); doi: 10.1117/12.410366
Show Author Affiliations
Amy E. Stewart, Spectral Information Technology Applications Ctr. (United States)
Robert D. Kaiser, Spectral Information Technology Applications Ctr. (United States)


Published in SPIE Proceedings Vol. 4049:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Sylvia S. Shen; Michael R. Descour, Editor(s)

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