Hyperspectral chemical plume quantification and temperature estimation

Sidi Niu; Steven E. Golowich; Vinay K. Ingle; Dimitris G. Manolakis

doi:10.1117/12.2049980

13 June 2014 Hyperspectral chemical plume quantification and temperature estimation

Sidi Niu, Steven E. Golowich, Vinay K. Ingle, Dimitris G. Manolakis

Author Affiliations +

Proceedings Volume 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX; 90880V (2014) https://doi.org/10.1117/12.2049980
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Sidi Niu, Steven E. Golowich, Vinay K. Ingle, and Dimitris G. Manolakis "Hyperspectral chemical plume quantification and temperature estimation", Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90880V (13 June 2014); https://doi.org/10.1117/12.2049980

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