Overview of physical models and statistical approaches for weak gaseous plume detection using passive infrared hyperspectral imagery

被引：34
|
作者：
Burr, Tom [1 ]
Hengartner, Nicolas [1 ]
机构：
[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
来源：
SENSORS | 2006年 / 6卷 / 12期
基金：
英国医学研究理事会;
关键词：
clutter; generalized least squares; infrared; model averaging; temperature-emissivity separation; errors in predictors; plume detection;
D O I：
10.3390/s6121721
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
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.
引用
收藏
页码：1721 / 1750
页数：30
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