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Proceedings Paper

Development of a line-by-line-based atmosphere removal algorithm for airborne and spaceborne imaging spectrometers
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Paper Abstract

In recent years, spectral imaging data have been acquired with a number of airborne imaging spectrometers. Similar data will soon be collected with the NASA HyperSpectral Imager instrument from the Lewis spacecraft. The majority of users of imaging spectrometer data are interested in studying surface properties. The atmospheric absorption and scattering effects must be removed from imaging spectrometer data, so that surface reflectance spectra can be derived. Previously, we developed and updated an operational atmosphere removal algorithm, which used the Malkmus narrow band model for modeling atmospheric gaseous transmittance. The narrow band model does a reasonably good job in modeling spectra at a resolution of 10 nm or coarser. Imaging spectrometers with spectral resolutions finer than 10 nm are now available. The narrow band model is not quite suitable for modeling data collected with these spectrometers. In this paper, we describe the development of a line-by-line- based algorithm for removing atmospheric effects from imaging spectrometer data. We also discus issues related to sampling and spectral resolution.

Paper Details

Date Published: 31 October 1997
PDF: 10 pages
Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); doi: 10.1117/12.283822
Show Author Affiliations
Bo-Cai Gao, Naval Research Lab. (United States)
Curtiss O. Davis, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 3118:
Imaging Spectrometry III
Michael R. Descour; Sylvia S. Shen, Editor(s)

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