Spectral background suppression of remote detection pollution clouds for real-time discrimination system

Jun Zhang; Yulong Xun

doi:10.1117/12.324167

4 September 1998 Spectral background suppression of remote detection pollution clouds for real-time discrimination system

Jun Zhang, Yulong Xun

Author Affiliations +

Proceedings Volume 3392, Detection and Remediation Technologies for Mines and Minelike Targets III; (1998) https://doi.org/10.1117/12.324167
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Jun Zhang and Yulong Xun "Spectral background suppression of remote detection pollution clouds for real-time discrimination system", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324167

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available