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Proceedings Paper

Spectral background suppression of remote detection pollution clouds for real-time discrimination system
Author(s): Jun Zhang; Yulong Xun
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Paper Abstract

Infrared spectra from the several typical pollution clouds are observed remotely using a passive Fourier Transform Infrared Spectrometer. The primary purpose of the study is to determine an efficient method to distinguish hazardous-cloud from several clouds. Spectral pattern recognition techniques are employed to suppress the strong and highly varying background to extract the very weak emission features from measured spectra. It can be used to discriminate specific pollution cloud between several smokes and interferents.

Paper Details

Date Published: 4 September 1998
PDF: 9 pages
Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); doi: 10.1117/12.324167
Show Author Affiliations
Jun Zhang, Anhui Institute of Optics and Fine Mechanics (China)
Yulong Xun, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 3392:
Detection and Remediation Technologies for Mines and Minelike Targets III
Abinash C. Dubey; James F. Harvey; J. Thomas Broach, Editor(s)

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