Quantification of chemical gaseous plumes on hyperspectral imagery

Permanent URL: http://hdl.handle.net/2047/d20004865
Title:
Quantification of chemical gaseous plumes on hyperspectral imagery
Creator:
Niu, Sidi (Author)
Contributor:
Ingle, Vinay K. (Advisor)
Manolakis, Dimitris G. (Advisor)
Dy, Jennifer (Committee member)
Golowich, Steven E. (Committee member)
Publisher:
Boston, Massachusetts : Northeastern University, 2013
Copyright date:
2013
Date Accepted:
August 2013
Date Awarded:
January 2014
Type of resource:
Text
Genre:
Dissertations
Format:
electronic
Digital origin:
born digital
Abstract/Description:
The passive remote chemical plume quantification problem may be approached from multiple aspects, corresponding to a variety of physical effects that may be exploited. Accordingly, a diversity of statistical quantification algorithms has been proposed in the literature. The ultimate performance and algorithmic complexity of each is influenced by the assumptions made about the scene, which may include the presence of ancillary measurements or particular background/plume features that may or may not be present. In this work, we evaluate and investigate the advantages and limitations of a number of quantification algorithms that span a variety of such assumptions. With these in-depth insights we gain, a new quantification algorithm is proposed for single gas quantification which is superior to all state-of-the-art algorithms in every almost every aspects including applicability, accuracy, and efficiency.

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.
Subjects and keywords:
background estimation
chemical plume quantification
hyperspectral image processing
plume temperature estimation
selected band algorithm
Electrical and Computer Engineering
DOI:
https://doi.org/10.17760/d20004865
Permanent Link:
http://hdl.handle.net/2047/d20004865
Use and reproduction:
In Copyright: This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the right-holder(s). (http://rightsstatements.org/vocab/InC/1.0/)
Copyright restrictions may apply.

Downloads