Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery
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 common...
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| Format: | Article |
| Language: | English |
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MDPI AG
2006-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/6/12/1721/ |
| _version_ | 1811279900783411200 |
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| author | Nicolas Hengartner Tom Burr |
| author_facet | Nicolas Hengartner Tom Burr |
| author_sort | Nicolas Hengartner |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T01:04:11Z |
| format | Article |
| id | doaj.art-44ae198a7979480093d803386a764fc8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T01:04:11Z |
| publishDate | 2006-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-44ae198a7979480093d803386a764fc82022-12-22T03:09:23ZengMDPI AGSensors1424-82202006-12-016121721175010.3390/s6121721Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral ImageryNicolas HengartnerTom BurrThe 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.http://www.mdpi.com/1424-8220/6/12/1721/cluttergeneralized least squaresinfraredmodel averagingtemperature-emissivity separationerrors in predictorsplume detection |
| spellingShingle | Nicolas Hengartner Tom Burr Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery Sensors clutter generalized least squares infrared model averaging temperature-emissivity separation errors in predictors plume detection |
| title | Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery |
| title_full | Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery |
| title_fullStr | Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery |
| title_full_unstemmed | Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery |
| title_short | Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery |
| title_sort | overview of physical models and statistical approaches for weak gaseous plume detection using passive infrared hyperspectral imagery |
| topic | clutter generalized least squares infrared model averaging temperature-emissivity separation errors in predictors plume detection |
| url | http://www.mdpi.com/1424-8220/6/12/1721/ |
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