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Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery
Date
2016-05-19
Author
Başkurt, Nur Didem
Gur, Yusuf
Omruuzun, Fatih
Çetin, Yasemin
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Hyperspectral imaging in gas detection applications is a leading and widely studied research topic thanks to its high spectral resolution and remote detection ability. The main problems in these applications covers the leakage detection, gas identification, and quantification. The proposed algorithm aims to reach the transmittance and absorbance features of the gas and to detect the gaseous region by using the measured radiance data from the hyperspectral infrared sensors.
Subject Keywords
Infrared hyperspectral imaging
,
Remote sensing
,
Gas detection
URI
https://hdl.handle.net/11511/55944
Collections
Graduate School of Informatics, Conference / Seminar
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N. D. Başkurt, Y. Gur, F. Omruuzun, and Y. Çetin, “Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55944.