Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data

Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data

This paper presents a nonlinear Bayesian regression algorithm for detecting and estimating gas plume content from hyper-spectral data. Remote sensing data, by its very nature, is collected under less controlled conditions than laboratory data. As a result, the physics-based model that is used to des...

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Bibliographic Details
Main Authors: Kevin Anderson, Jeff Hylden, Christian Posse, Patrick Heasler
Format: Article
Language:English
Published: MDPI AG 2007-06-01
Series:Sensors
Subjects:
plumes
bayesian
regression
MCMC
hyperspectral
LWIR
uncertainty
Online Access:http://www.mdpi.com/1424-8220/7/6/905/

Internet

http://www.mdpi.com/1424-8220/7/6/905/

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