Mr. Hyeong-Geun Yu Profile

Hyeong-Geun Yu

at KAIST

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Publications (4)

Proceedings Article | 16 November 2018 Presentation + Paper

Efficient detection algorithm of chemical warfare agents for FTIR-based hyperspectral imagery using SVM classifier

Hyeong-Geun Yu, Jae-Hoon Lee, Dong-Jo Park, Hyeon-Woo Nam, Byeong-Hwang Park

Proceedings Volume 10768, 107680H (2018) https://doi.org/10.1117/12.2322027

KEYWORDS: Detection and tracking algorithms, Chemical weapons, Hyperspectral imaging, Sensors, Feature extraction, FT-IR spectroscopy, Clouds, Binary data, Temperature metrology, Absorption

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Proceedings Article | 8 May 2018 Paper

Noise reduction for improving the performance of gas detection algorithms in the FTIR spectrometer

Hyeong-Geun Yu, Jae-Hoon Lee, Dong-Jo Park, Hyun-Woo Nam, Byeong-Hwang Park

Proceedings Volume 10644, 106441Q (2018) https://doi.org/10.1117/12.2304629

KEYWORDS: Spectroscopy, FT-IR spectroscopy, Detection and tracking algorithms, Infrared spectroscopy, Denoising, Sensors, Infrared radiation, Atmospheric modeling

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Proceedings Article | 6 October 2017 Presentation + Paper

Hazardous gas detection for FTIR-based hyperspectral imaging system using DNN and CNN

Yong Chan Kim, Hyeong-Geun Yu, Jae-Hoon Lee, Dong-Jo Park, Hyun-Woo Nam

Proceedings Volume 10433, 1043317 (2017) https://doi.org/10.1117/12.2279077

KEYWORDS: Hyperspectral imaging, Gases, Imaging systems, FT-IR spectroscopy, Detection and tracking algorithms, Spectroscopy, Atmospheric sensing, Convolution, Absorption, Atmospheric modeling

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Proceedings Article | 5 May 2017 Presentation + Paper

Intelligent detection algorithm of hazardous gases for FTIR-based hyperspectral imaging system using SVM classifier

Hyeong-Geun Yu, Jae-Hoon Lee, Yong-Chan Kim, Dong-Jo Park

Proceedings Volume 10198, 1019808 (2017) https://doi.org/10.1117/12.2262066

KEYWORDS: Detection and tracking algorithms, FT-IR spectroscopy, Infrared signatures, Gases, Hyperspectral imaging, Imaging systems, Spectroscopy, Target detection, Chemical detection, Remote sensing, Data modeling, Binary data, Infrared spectroscopy

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