Lognormal background modeling for gaseous plume detection

Alan Schaum

doi:10.1117/12.2584363

12 April 2021 Lognormal background modeling for gaseous plume detection

Alan Schaum

Proceedings Volume 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII; 117270A (2021) https://doi.org/10.1117/12.2584363
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

A uniformly most powerful algorithm is derived for the standoff spectral detection of absorptive gaseous plumes. No weak concentration approximation is invoked. Other methods then naturally follow for the detection and estimation of gas mixtures. The algorithms result from the modeling of spectral backgrounds with multivariate lognormal distributions.

Conference Presentation

Citation Download Citation

Alan Schaum "Lognormal background modeling for gaseous plume detection", Proc. SPIE 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 117270A (12 April 2021); https://doi.org/10.1117/12.2584363

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