Share Email Print
cover

Proceedings Paper

Field test on signal processing methods for passive FTIR remote sensing measurements
Author(s): Robert H. Kagann; William T. Walter; C. David Wang; Dale K. Kotter; Gary J. McManus
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 10 February 1995
PDF: 8 pages
Proc. SPIE 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements, (10 February 1995); doi: 10.1117/12.205567
Show Author Affiliations
Robert H. Kagann, AIL Systems Inc. (United States)
William T. Walter, AIL Systems Inc. (United States)
C. David Wang, AIL Systems Inc. (United States)
Dale K. Kotter, Idaho National Engineering Labs. (United States)
Gary J. McManus, Idaho National Engineering Labs. (United States)


Published in SPIE Proceedings Vol. 2366:
Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements
Michael G. Yost; Dennis K. Killinger; Joseph Leonelli; William Vaughan; Dennis K. Killinger; William Vaughan; Michael G. Yost, Editor(s)

© SPIE. Terms of Use
Back to Top