Gas Detection in Longwave Infrared Hyperspectral Imagery and Black Body Effect Compensation

Date

2015-05-19

Author

Omruuzun, Fatih
Çetin, Yasemin

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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