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Proceedings Paper

Performance assessment of atmospheric correction algorithms on material identification for VIS-SWIR hyperspectral data II
Author(s): Amy E. Stewart; Raymond D. Bauer; Robert D. Kaiser
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Paper Abstract

This paper has two objectives: (1) to assess the performance of atmospheric correction techniques for VIS-SWIR hyperspectral data, and (2) to evaluate the ability to identify a variety of materials in five major backgrounds. Data from the HYDICE sensor obtained under alpine, desert, forest, jungle, and littoral conditions were evaluated. In addition to comparing retrieved reflectance spectra from ground truth, the impact of various atmospheric correction techniques on material identification was assessed.

Paper Details

Date Published: 15 November 2000
PDF: 12 pages
Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); doi: 10.1117/12.406589
Show Author Affiliations
Amy E. Stewart, Spectral Information Technology Applications Ctr. (United States)
Raymond D. Bauer, Spectral Information Technology Applications Ctr. (United States)
Robert D. Kaiser, Spectral Information Technology Applications Ctr. (United States)

Published in SPIE Proceedings Vol. 4132:
Imaging Spectrometry VI
Michael R. Descour; Sylvia S. Shen, Editor(s)

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