Characterizing Clutter in the Context of Detecting Weak Gaseous Plumes in Hyperspectral Imagery

Characterizing Clutter in the Context of Detecting Weak Gaseous Plumes in Hyperspectral Imagery

Weak gaseous plume detection in hyperspectral imagery requires thatbackground clutter consisting of a mixture of components such as water, grass, and asphaltbe well characterized. The appropriate characterization depends on analysis goals.Although we almost never see clutter as a single-component mu...

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Bibliographic Details
Main Authors: Brian McVey, Herb Fry, Bernie Foy, Tom Burr
Format: Article
Language:English
Published: MDPI AG 2006-11-01
Series:Sensors
Subjects:
clutter
single-component multivariate Gaussian
mixture distribution
generalized least squares
near infrared
central limit theorem
Online Access:http://www.mdpi.com/1424-8220/6/11/1587/

Internet

http://www.mdpi.com/1424-8220/6/11/1587/

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