23 December 2013 New approach to remote gas-phase chemical quantification: selected-band algorithm
Sidi Niu, Steven E. Golowich, Vinay K. Ingle, Dimitris G. Manolakis
Author Affiliations +
Abstract
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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2014/$25.00 © 2014 SPIE
Sidi Niu, Steven E. Golowich, Vinay K. Ingle, and Dimitris G. Manolakis "New approach to remote gas-phase chemical quantification: selected-band algorithm," Optical Engineering 53(2), 021111 (23 December 2013). https://doi.org/10.1117/1.OE.53.2.021111
Published: 23 December 2013
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CITATIONS
Cited by 12 scholarly publications and 35 patents.
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KEYWORDS
Error analysis

Chemical analysis

Absorption

Principal component analysis

Gases

Transmittance

Optical engineering

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