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Proceedings Paper

Effects of resolution enhancement and atmospheric correction preprocessing in classification of hyperspectral imagery
Author(s): Shirley Morillo-Contreras; Miguel Velez-Reyes; Shawn D. Hunt
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Paper Abstract

This paper presents a comparison between classification results when hyperspectral imagery is pre-processed by spectral resolution enhancement algorithms and/or atmospheric correction algorithms. Different combinations of pre-processing options were investigated. Overall, resolution enhancement does improve classification accuracy with and without atmospheric correction. Furthermore, classification accuracy using radiance data enhanced by resolution enhancement techniques was higher than accuracies obtained by atmospherically corrected data even when it was enhanced. AVIRIS data from the Indian Pines test site in NW Indiana was used to illustrate the different concepts.

Paper Details

Date Published: 12 August 2004
PDF: 9 pages
Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); doi: 10.1117/12.543857
Show Author Affiliations
Shirley Morillo-Contreras, Univ. of Puerto Rico/Mayaguez (United States)
Miguel Velez-Reyes, Univ. of Puerto Rico/Mayaguez (United States)
Shawn D. Hunt, Univ. of Puerto Rico/Mayaguez (United States)


Published in SPIE Proceedings Vol. 5425:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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