Abstract

The ability to detect and identify gaseous effluents is a problem that has been pursued with limited success. It has been shown to bepossible using the Invariant algorithm on synthetic hyperspectralscenes with a strong single gas release. That however, is a veryspecific case and leaves room for further investigation. This studylooks at more realistic detection and release scenarios. Ourimplementation of the Invariant algorithm uses Singular ValueDecomposition (SVD) to select basis vectors from a subspace of targetgases in conjunction with a Generalized Likelihood Ratio Test (GLRT) to determine on a pixel by pixel basis how ``like" the target gas each pixel is. The target gases are modeled in the image radiance space including atmospheric effects. Target spectra are modeled in both emission and absorption. This study investigates how well weak plumes are detected. Also, there will be a test of a mixed gas in a strong plume release. Finally, a situation where a weak multiple gas release will be discussed. Synthetic hyperspectral imagery in the long wave infrared region (LWIR) of the electromagnetic spectrum will be the predominate data used in this study. This algorithm has been found to be applicable for these detection and identification scenarios.

Publication Date

2005

Comments

"The invariant algorithm for identification and detection of multiple gas plumes and weak releases," Proceedings of the SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, vol. 5806. The International Society of Optical Engineers. Held in Orlando, Florida: April 2005. This paper is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This research was funded under the Office of Naval Research Multi-disciplinary University Research Initiative "Model-based Hyperspectral Exploitation Algorithm Development", no. N00014-01-1-0867. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Office of Naval Research.ISSN:0277-786X Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Article

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)

Campus

RIT – Main Campus

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