Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery

2016-05-19
Başkurt, Nur Didem
Gur, Yusuf
Omruuzun, Fatih
Çetin, Yasemin
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.

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Citation Formats
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.