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Proceedings Paper

Hyperspectral chemical plume quantification and temperature estimation
Author(s): Sidi Niu; Steven E. Golowich; Vinay K. Ingle; Dimitris G. Manolakis
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Paper Abstract

Most hyperspectral chemical gaseous plume quantification algorithms assume a priori knowledge of the plume temperature either through direct measurement or an auxiliary temperature estimation approach. In this paper, we propose a new quantification algorithm that can simultaneously estimate the plume strength as well as its temperature. We impose only a mild spatial assumption, that at least one nearby pixel shares the same plume parameters as the target pixel, which we believe will be generally satisfied in practice. Simulations show that the performance loss incurred by estimating both the temperature and plume strength is small, as compared to the case when the plume temperature is known exactly.

Paper Details

Date Published: 13 June 2014
PDF: 8 pages
Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90880V (13 June 2014); doi: 10.1117/12.2049980
Show Author Affiliations
Sidi Niu, Northeastern Univ. (United States)
Steven E. Golowich, MIT Lincoln Lab. (United States)
Vinay K. Ingle, Northeastern Univ. (United States)
Dimitris G. Manolakis, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 9088:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX
Miguel Velez-Reyes; Fred A. Kruse, Editor(s)

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