DTW BASED SIGNAL ALIGNMENT FOR ENHANCING CO2 DETECTION IN MWIR HYPERSPECTRAL IMAGERY

Date

2015-06-05

Author

Omruuzun, Fatih
Baskurt, Didem Ozisik
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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Remote sensing and detection of gases using hyperspectral imagery is an emerging research topic. Recent developments in infrared sensor technology increase usage of these devices in various fields ranging from environmental applications to defence industry. Another research topic in remote sensing field is the detection and identification of gas emissions using these devices. This study proposes a method for improving detection accuracy of CO2 emissions in Mid-Wave Infrared (MWIR) hyperspectral imagery with Dynamic Time Warping (DTW) signal alignment using reference absorption signature.

Subject Keywords

MWIR hyperspectral imagery, CO2 detection, Feature matching, Signal alignment

URI

https://hdl.handle.net/11511/55866

Conference Name

7th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS)

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

F. Omruuzun, D. O. Baskurt, and Y. Çetin, “DTW BASED SIGNAL ALIGNMENT FOR ENHANCING CO2 DETECTION IN MWIR HYPERSPECTRAL IMAGERY,” presented at the 7th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS), Tokyo, JAPAN, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55866.