10 February 1995 Field test on signal processing methods for passive FTIR remote sensing measurements
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert H. Kagann, Robert H. Kagann, William T. Walter, William T. Walter, C. David Wang, C. David Wang, Dale K. Kotter, Dale K. Kotter, Gary J. McManus, 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); doi: 10.1117/12.205567; https://doi.org/10.1117/12.205567
PROCEEDINGS
8 PAGES


SHARE
Back to Top