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New approach to remote gas-phase chemical quantification: selected-band algorithm

OPTICAL ENGINEERING 2014年第2期53卷 021111-021111页

作者： Niu, Sidi Golowich, Steven E. Ingle, Vinay K. Manolakis, Dimitris G. Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA MIT Lincoln Lab Lexington MA 02420 USA

We propose an algorithm for standoff quantification of chemical vapor plumes from hyperspectral imagery. The approach is based on the observation that the quantification problem can be easily solved in each pixel with the use of just a single spectral band if the radiance of the pixel in the absence of the plume is known. This plume-absent radiance may, in turn, be recovered from the radiance of the subset of spectral bands in which the gas species is transparent. This "selected-band" algorithm is most effective when applied to gases with narrow spectral features, and are therefore transparent over many bands. We also demonstrate an iterative version that expands the range of applicability. Simulations show that the new algorithm attains the accuracy of existing nonlinear algorithms, while its computational efficiency is comparable to that of linear algorithms. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： hyperspectral imagery chemical plume quantification selected-band algorithm background estimation

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Hyperspectral Chemical Plume Quantification and Temperature Estimation

Hyperspectral Chemical Plume Quantification and Temperature ...

引用

20th SPIE Conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery

作者： Niu, Sidi Golowich, Steven E. Ingle, Vinay K. Manolakis, Dimitris G. Northeastern Univ Dept Elect & Comp Engn 360 Huntington Ave Boston MA 02115 USA MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)9781628410259

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.

关键词： hyperspectral imagery chemical agent quantification background estimation selected-band algorithm

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