METHOD FOR EVALUATING THE EFFICIENCY OF HYPERSPECTRAL IMAGING INSTRUMENTATION FOR DETECTING GAS CLOUDS AND PLUMES

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Abstract

The releases of toxic or explosive gases have a negative impact on the environment and pose a serious threat to the life and health of industrial workers, as well as to the population living in areas adjacent to the industrial facilities. Modern technologies make it possible to remotely and promptly detect such threats, thereby preventing potential accidents and disasters. This work presents a novel methodology for simulating the detection of a gas cloud resulting from a leak at an industrial infrastructure line under open atmospheric conditions. The approach includes the synthesis of observation scenarios in the radiation wavelength range of 300–2500 nm, taking into account the peculiarities of its detection utilizing hyperspectral imaging instrumentation (HSI). Using the example of sulfur dioxide leak detection via a neural network algorithm based on a Siamese neural network, it has been demonstrated that an SO2 cloud can be remotely identified using HSI operating in the 330–700 nm range with a spectral resolution of 1 nm.

About the authors

I. D. Rodionov

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences

Moscow, Russia

A. N. Vinogradov

AO Scientific and Technical Center Reagent

Email: al.n.vinogradov@gmail.com
Moscow, Russia

M. A. Gomorev

AO Scientific and Technical Center Reagent

Moscow, Russia

Y. A. Izmailova

AO Scientific and Technical Center Reagent

Moscow, Russia

A. I. Rodionov

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences

Moscow, Russia

I. P. Rodionova

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences

Moscow, Russia

G. A. Shvetsov

AO Scientific and Technical Center Reagent

Moscow, Russia

Y. A. Dyakov

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences

Moscow, Russia

D. V. Shestakov

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences

Moscow, Russia

M. G. Golubkov

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences

Moscow, Russia

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