Field test on signal processing methods for passive FTIR remote sensing measurements

Robert H. Kagann; William T. Walter; C. David Wang; Dale K. Kotter; Gary J. McManus

doi:10.1117/12.205567

10 February 1995 Field test on signal processing methods for passive FTIR remote sensing measurements

Robert H. Kagann, William T. Walter, C. David Wang, Dale K. Kotter, Gary J. McManus

Proceedings Volume 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements; (1995) https://doi.org/10.1117/12.205567
Event: Optical Sensing for Environmental and Process Monitoring, 1994, McLean, VA, United States

Abstract

Passive FTIR remote sensing measurements were made to test real-time detection of an SF₆ seeded stack plume using a probabilistic neural network (PNN) algorithm. The plume concentrations were determined using a classical least squares (CLS) algorithm and compared well with calculations using measured flow rates for the SF₆ and the waste stream.

Citation Download Citation

Robert H. Kagann, William T. Walter, C. David Wang, Dale K. Kotter, and Gary J. McManus "Field test on signal processing methods for passive FTIR remote sensing measurements", Proc. SPIE 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements, (10 February 1995); https://doi.org/10.1117/12.205567

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