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Proceedings Paper

Stable band set selection for the preprocessing of AVIRIS and Hyperion hyperspectral data
Author(s): Michelle L. Aten; Lance D. Yarbrough; Gregory Easson
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Paper Abstract

Preprocessing of AVIRIS and Hyperion hyperspectral data is a challenging and time consuming process. A significant portion of this preprocessing effort is related to the removal of specific bands for the selection of an optimal band set. Bad bands are characterized by criteria such as noise and low responsivity. Noise is the interference resulting from atmospheric absorption phenomena and may be sensor generated. Responsivity refers to the bands representing wavelengths near the extremes of the sensors' focal plane(s). This research streamlines the preprocessing flow, thus minimizing production time and effort. In addition, this overview will help to expand the user community beyond remote sensing experts and facilitate the accessibility of hyperspectral data to application experts in various fields. This will be accomplished by improving the end user's understanding of the preprocessing steps and their ability to interpret these data types.

Paper Details

Date Published: 4 November 2004
PDF: 6 pages
Proc. SPIE 5570, Sensors, Systems, and Next-Generation Satellites VIII, (4 November 2004); doi: 10.1117/12.568134
Show Author Affiliations
Michelle L. Aten, Univ. of Mississippi (United States)
Lance D. Yarbrough, Univ. of Mississippi (United States)
Gregory Easson, Univ. of Mississippi (United States)

Published in SPIE Proceedings Vol. 5570:
Sensors, Systems, and Next-Generation Satellites VIII
Roland Meynart; Steven P. Neeck; Haruhisa Shimoda, Editor(s)

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