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Proceedings Paper

Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences
Author(s): Timothy Marrinan; J. Ross Beveridge; Bruce Draper; Michael Kirby; Chris Peterson
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Paper Abstract

We present a flag manifold based method for detecting chemical plumes in long-wave infrared hyperspectral movies. The method encodes temporal and spatial information related to a hyperspectral pixel into a flag, or nested sequence of linear subspaces. The technique used to create the flags pushes information about the background clutter, ambient conditions, and potential chemical agents into the leading elements of the flags. Exploiting this temporal information allows for a detection algorithm that is sensitive to the presence of weak signals. This method is compared to existing techniques qualitatively on real data and quantitatively on synthetic data to show that the flag-based algorithm consistently performs better on data when the SINRdB is low, and beats the ACE and MF algorithms in probability of detection for low probabilities of false alarm even when the SINRdB is high.

Paper Details

Date Published: 17 May 2016
PDF: 10 pages
Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 98401N (17 May 2016); doi: 10.1117/12.2224117
Show Author Affiliations
Timothy Marrinan, Colorado State Univ. (United States)
J. Ross Beveridge, Colorado State Univ. (United States)
Bruce Draper, Colorado State Univ. (United States)
Michael Kirby, Colorado State Univ. (United States)
Chris Peterson, Colorado State Univ. (United States)

Published in SPIE Proceedings Vol. 9840:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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