Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging
Joint Authors
Idoughi, Ramzi
Vidal, Thomas H. G.
Foucher, Pierre-Yves
Gagnon, Marc-André
Briottet, Xavier
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-19
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Hyperspectral imaging in the long-wave infrared (LWIR) is a mean that is proving its worth in the characterization of gaseous effluent.
Indeed the spectral and spatial resolution of acquisition instruments is steadily decreasing, making the gases characterization increasingly easy in the LWIR domain.
The majority of literature algorithms exploit the plume contribution to the radiance corresponding to the difference of radiance between the plume-present and plume-absent pixels.
Nevertheless, the off-plume radiance is unobservable using a single image.
In this paper, we propose a new method to retrieve trace gas concentration from airborne infrared hyperspectral data.
More particularly the outlined method improves the existing background radiance estimation approach to deal with heterogeneous scenes corresponding to industrial scenes.
It consists in performing a classification of the scene and then applying a principal components analysis based method to estimate the background radiance on each cluster stemming from the classification.
In order to determine the contribution of the classification to the background radiance estimation, we compared the two approaches on synthetic data and Telops Fourier Transform Spectrometer (FTS) Imaging Hyper-Cam LW airborne acquisition above ethylene release.
We finally show ethylene retrieved concentration map and estimate flow rate of the ethylene release.
American Psychological Association (APA)
Idoughi, Ramzi& Vidal, Thomas H. G.& Foucher, Pierre-Yves& Gagnon, Marc-André& Briottet, Xavier. 2016. Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging. Journal of Spectroscopy،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1110786
Modern Language Association (MLA)
Idoughi, Ramzi…[et al.]. Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging. Journal of Spectroscopy No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1110786
American Medical Association (AMA)
Idoughi, Ramzi& Vidal, Thomas H. G.& Foucher, Pierre-Yves& Gagnon, Marc-André& Briottet, Xavier. Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging. Journal of Spectroscopy. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1110786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110786