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Gas Detection in Longwave Infrared Hyperspectral Imagery and Black Body Effect Compensation
Date
2015-05-19
Author
Omruuzun, Fatih
Çetin, Yasemin
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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Hyperspectral imaging, as a relatively new remote sensing method, provides dense information regarding the energy absorption and reflection characteristics of materials located in the scene being investigated. Therefore, material detection and identification performance in these images increases as compared to conventional remote sensing methods. Hyperspectral sensors that are operating in infrared regions enables detection of materials in gaseous form. This study proposes a method for improving gas detection accuracy in long-wave hyperspectral imagery.
Subject Keywords
Infrared hyperspectral imaging
,
Gas detection
,
Black body effect
URI
https://hdl.handle.net/11511/55165
Collections
Graduate School of Informatics, Conference / Seminar