@inproceedings{6c2759f89bf04557b1860d054f85b8c2,
title = "Detection of gaseous plumes in airborne hyperspectral imagery",
abstract = "The thermal hyperspectral sensor Hyper-Cam was mounted on a light aircraft and measured continuous releases of several atmospheric tracers from a height of 2 km. A unique detection algorithm that eliminates the need for clear background estimation was operated over the acquired data with excellent detection results. The data-cubes were acquired in a {"}target mode{"}, which is a unique method of operation of the Hyper-Cam sensor. This method provides multiple views of the plume which can be exploited to enhance the detection performance. These encouraging results demonstrate the utility of airborne LWIR hyperspectral imaging for efficient detection and mapping of effluent gases for environmental monitoring.",
keywords = "Hyperspectral, LWIR, airborne, detection, gas plume",
author = "Eyal Agassi and Eitan Hirsch and Martin Chamberland and Gagnon, \{Marc Andre\} and Holger Eichstaedt",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; 17th Meeting of the Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing Conference ; Conference date: 18-04-2016 Through 20-04-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.1117/12.2222142",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Fountain, \{Augustus W.\}",
booktitle = "Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII",
address = "United States",
}