DTW based signal alignment for enhancing CO2 detection in MWIR hyperspectral imagery

Date

2015-07-02

Author

Ömrüuzun, Fatih
Baskurt, Didem Ozisik
Cetin, Yasemin Yardimci

Metadata

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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

CO2 detection, feature matching, MWIR hyperspectral imagery, signal alignment

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039148264&origin=inward
https://hdl.handle.net/11511/113678

DOI

https://doi.org/10.1109/whispers.2015.8075430

Conference Name

7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015

Collections

Graduate School of Informatics, Conference / Seminar

Citation Formats

F. Ömrüuzun, D. O. Baskurt, and Y. Y. Cetin, “DTW based signal alignment for enhancing CO2 detection in MWIR hyperspectral imagery,” Tokyo, Japonya, 2015, vol. 2015-June, Accessed: 00, 2025. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039148264&origin=inward.