Predicting the Detectability of Thin Gaseous Plumes in Hyperspectral Images Using Basis Vectors

Predicting the Detectability of Thin Gaseous Plumes in Hyperspectral Images Using Basis Vectors

This paper describes a new method for predicting the detectability of thin gaseous plumes in hyperspectral images. The novelty of this method is the use of basis vectors for each of the spectral channels of a collection instrument to calculate noise-equivalent concentration-pathlengths instead of ma...

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Bibliographic Details
Main Authors: Lawrence K. Chilton, Mark F. Tardiff, Kevin K. Anderson
Format: Article
Language:English
Published: MDPI AG 2010-09-01
Series:Sensors
Subjects:
plume
detection
LWIR
basis vectors
NECL
Online Access:http://www.mdpi.com/1424-8220/10/9/8652/

Internet

http://www.mdpi.com/1424-8220/10/9/8652/

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