Effluent detection: spectral aggregation trade study

Steve T. Kacenjar; Robert Fleming; Eric J. Stewart

doi:10.1117/12.353039

16 July 1999 Effluent detection: spectral aggregation trade study

Steve T. Kacenjar, Robert Fleming, Eric J. Stewart

Proceedings Volume 3717, Algorithms for Multispectral and Hyperspectral Imagery V; (1999) https://doi.org/10.1117/12.353039
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

The increasing levels of greenhouse gases into the atmosphere is of rising concern to the world community. The formulation of treaties to monitor such emissions levels must be developed upon the ability to detect these gases in the differing levels of concentration found in the real world. This in turn is dependent upon a technical understanding of the capability to reliably and accurately measure their spectral signatures through the atmosphere. The effects of gas concentrations, atmosphere, electro- optical sensing system performance and ground processing can be quantified using statistical measures in order to assess sensing capability.

Citation Download Citation

Steve T. Kacenjar, Robert Fleming, and Eric J. Stewart "Effluent detection: spectral aggregation trade study", Proc. SPIE 3717, Algorithms for Multispectral and Hyperspectral Imagery V, (16 July 1999); https://doi.org/10.1117/12.353039

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