%0 Journal Article %T Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery %A Tom Burr %A Nicolas Hengartner %J Sensors %D 2006 %I MDPI AG %R 10.3390/s6121721 %X The performance of weak gaseous plume-detection methods in hyperspectral long-wave infrared imagery depends on scene-specific conditions such at the ability to properly estimate atmospheric transmission, the accuracy of estimated chemical signatures, and background clutter. This paper reviews commonly-applied physical models in the context of weak plume identification and quantification, identifies inherent error sources as well as those introduced by making simplifying assumptions, and indicates research areas. %K clutter %K generalized least squares %K infrared %K model averaging %K temperature-emissivity separation %K errors in predictors %K plume detection %U http://www.mdpi.com/1424-8220/6/12/1721