Quantification of chemical gaseous plumes on hyperspectral imagery
Permanent URL:
http://hdl.handle.net/2047/d20004865
Manolakis, Dimitris G. (Advisor)
Dy, Jennifer (Committee member)
Golowich, Steven E. (Committee member)
The new method, called selected-band algorithm, achieves its superior performance through an accurate estimation of the unobservable off-plume radiance. The reason why off-plume radiance is recoverable relies on a common observation that most chemical gases only exhibit strong absorptive behavior in certain spectral bands. Those spectral bands where the gas absorption is almost zero or small are ideal to carry out background estimation. In this thesis, the new selected-band algorithm is first derived from its favorable narrow-band sharp-featured gas and then extended to an iterative algorithm that suits all kinds of gases. The performance improvement is verified by simulated data for a variety of experimental settings.
chemical plume quantification
hyperspectral image processing
plume temperature estimation
selected band algorithm
Electrical and Computer Engineering
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