Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter

Theiler, James Patrick

doi:10.1109/jstars.2021.3093820

Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter

Journal Article · Wed Jun 30 00:00:00 EDT 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI:https://doi.org/10.1109/jstars.2021.3093820· OSTI ID:1835798

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Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

For additive signals on Gaussian clutter, the optimal detector is a linear matched filter that is adapted to the known signal and the covariance of the background. This adaptive matched filter is widely used for gas-phase plume detection, even though the effect of the plume on the background is not strictly additive. Here, a derivation of the matched filter for a strictly absorptive plume produces, in the weak plume limit, a quadratic filter. This quadratic matched filter is extended in two ways: an elliptically-contoured multivariate t distribution is used to generalize the Gaussian background clutter, and a generalized likelihood ratio test detector is derived to extend applicability to stronger plumes. In addition to detectors whose purpose is to identify presence versus absence of a plume, expressions are also derived for estimating plume strength. The performance of these various detectors is evaluated by implanting simulated plume into background images that are either real hyperspectral images or simulated images based on different (Gaussian, multivariate t, and lognormal) clutter distributions.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: National Aeronautics and Space Administration (NASA); USDOE

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1835798

Report Number(s):: LA-UR--21-24152

Journal Information:: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Name: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14; ISSN 1939-1404

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

References (31)

A fast and sensitive new satellite SO ₂ retrieval algorithm based on principal component analysis: Application to the ozone monitoring instrument : NEW OMI PCA SO Li, Can; Joiner, Joanna; Krotkov, Nickolay A. Geophysical Research Letters, Vol. 40, Issue 23 https://doi.org/10.1002/2013GL058134	journal	December 2013
Bestimmung der Absorption des rothen Lichts in farbigen Flüssigkeiten No authors listed Annalen der Physik und Chemie, Vol. 162, Issue 5 https://doi.org/10.1002/andp.18521620505	journal	January 1852
Performance measurement in point source target detection Bar-Tal, Meir; Rotman, S. R. Infrared Physics & Technology, Vol. 37, Issue 2 https://doi.org/10.1016/1350-4495(95)00050-X	journal	March 1996
Tracking and quantification of gaseous chemical plumes from anthropogenic emission sources within the Los Angeles Basin Buckland, Kerry N.; Young, Stephen J.; Keim, Eric R. Remote Sensing of Environment, Vol. 201 https://doi.org/10.1016/j.rse.2017.09.012	journal	November 2017
A uniformly most powerful detector of gas plumes against a cluttered background Schaum, Alan Remote Sensing of Environment, Vol. 260 https://doi.org/10.1016/j.rse.2021.112443	journal	July 2021
Retrieval of large volcanic SO₂columns from the Aura Ozone Monitoring Instrument: Comparison and limitations Yang, Kai; Krotkov, Nickolay A.; Krueger, Arlin J. Journal of Geophysical Research, Vol. 112, Issue D24 https://doi.org/10.1029/2007JD008825	journal	November 2007
Passive infrared spectroscopy of the eruption plume at Popocatépetl volcano, Mexico Love, S. P.; Goff, F.; Counce, D. Nature, Vol. 396, Issue 6711 https://doi.org/10.1038/25109	journal	December 1998
Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region Frankenberg, Christian; Thorpe, Andrew K.; Thompson, David R. Proceedings of the National Academy of Sciences, Vol. 113, Issue 35 https://doi.org/10.1073/pnas.1605617113	journal	August 2016
Matched-Pair Machine Learning Theiler, James Technometrics, Vol. 55, Issue 4 https://doi.org/10.1080/00401706.2013.838191	journal	November 2013
Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution Reed, I. S.; Yu, X. IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 38, Issue 10 https://doi.org/10.1109/29.60107	journal	January 1990
A CFAR adaptive matched filter detector Robey, F. C.; Fuhrmann, D. R.; Kelly, E. J. IEEE Transactions on Aerospace and Electronic Systems, Vol. 28, Issue 1 https://doi.org/10.1109/7.135446	journal	January 1992
Performance of an adaptive detection algorithm; rejection of unwanted signals Kelly, E. J. IEEE Transactions on Aerospace and Electronic Systems, Vol. 25, Issue 2 https://doi.org/10.1109/7.18674	journal	March 1989
EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test Theiler, James; Foy, Bernard R. IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2008.4778833	conference	January 2008
Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery Theiler, James; Scovel, Clint; Wohlberg, Brendt IEEE Geoscience and Remote Sensing Letters, Vol. 7, Issue 2 https://doi.org/10.1109/LGRS.2009.2032565	journal	April 2010
Rapid Convergence Rate in Adaptive Arrays Reed, I. S.; Mallett, J. D.; Brennan, L. E. IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-10, Issue 6 https://doi.org/10.1109/TAES.1974.307893	journal	November 1974
Band residual difference algorithm for retrieval of SO/sub 2/ from the aura ozone monitoring instrument (OMI) Krotkov, N. A.; Carn, S. A.; Krueger, A. J. IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, Issue 5 https://doi.org/10.1109/TGRS.2005.861932	journal	May 2006
Fast and Accurate Retrieval of Methane Concentration From Imaging Spectrometer Data Using Sparsity Prior Foote, Markus D.; Dennison, Philip E.; Thorpe, Andrew K. IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, Issue 9 https://doi.org/10.1109/TGRS.2020.2976888	journal	September 2020
The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic Kraut, S.; Scharf, L. L.; Butler, R. W. IEEE Transactions on Signal Processing, Vol. 53, Issue 2 https://doi.org/10.1109/TSP.2004.840823	journal	February 2005
The remarkable success of adaptive cosine estimator in hyperspectral target detection Manolakis, D.; Pieper, M.; Truslow, E. SPIE Proceedings https://doi.org/10.1117/12.2015392	conference	May 2013
Onboard CubeSat data processing for hyperspectral detection of chemical plumes Theiler, James; Foy, Bernard; Safi, Claira Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV https://doi.org/10.1117/12.2305278	conference	May 2018
Statistics of hyperspectral imaging data Manolakis, Dimitris G.; Marden, David; Kerekes, John P. SPIE Proceedings https://doi.org/10.1117/12.437021	conference	August 2001
Comparisons between hyperspectral passive and multispectral active sensor measurements Foy, Bernard R.; Petrin, Roger R.; Quick, Jr., Charles R. SPIE Proceedings https://doi.org/10.1117/12.472253	conference	June 2002
Using elliptically contoured distributions to model hyperspectral imaging data and generate statistically similar synthetic data Marden, David B.; Manolakis, Dimitris G. SPIE Proceedings https://doi.org/10.1117/12.542077	conference	August 2004
A taxonomy of algorithms for chemical vapor detection with hyperspectral imaging spectroscopy Manolakis, Dimitris G.; D'Amico, Francis M. SPIE Proceedings https://doi.org/10.1117/12.602323	conference	May 2005
Characterizing non-Gaussian clutter and detecting weak gaseous plumes in hyperspectral imagery Theiler, James; Foy, Bernard R.; Fraser, Andrew M. Defense and Security, SPIE Proceedings https://doi.org/10.1117/12.604075	conference	June 2005
Confusion and clairvoyance: some remarks on the composite hypothesis testing problem Theiler, James Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII https://doi.org/10.1117/12.918888	conference	May 2012
Estimation of Total Atmospheric Ozone from GOES Sounder Radiances with High Temporal Resolution Li, Jun; Schmidt, Christopher C.; Nelson, James P. Journal of Atmospheric and Oceanic Technology, Vol. 18, Issue 2 https://doi.org/10.1175/1520-0426(2001)018<0157:EOTAOF>2.0.CO;2	journal	February 2001
Determination of trace-gas amounts in plumes by the use of orthogonal digital filtering of thermal-emission spectra Hayden, Andreas; Niple, Edward; Boyce, Bruce Applied Optics, Vol. 35, Issue 16 https://doi.org/10.1364/AO.35.002802	journal	January 1996
Continuum fusion: a theory of inference, with applications to hyperspectral detection Schaum, Alan Optics Express, Vol. 18, Issue 8 https://doi.org/10.1364/OE.18.008171	journal	January 2010
Characterization of wildfire NO _x emissions using MODIS fire radiative power and OMI tropospheric NO ₂ columns Mebust, A. K.; Russell, A. R.; Hudman, R. C. Atmospheric Chemistry and Physics, Vol. 11, Issue 12 https://doi.org/10.5194/acp-11-5839-2011	journal	January 2011
Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane Thompson, D. R.; Leifer, I.; Bovensmann, H. Atmospheric Measurement Techniques, Vol. 8, Issue 10 https://doi.org/10.5194/amt-8-4383-2015	journal	January 2015

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79 ASTRONOMY AND ASTROPHYSICS
Adaptive signal detection
Clutter
Composite hypothesis testing
Elliptically-contoured distribution
Gas-phase plume detection
Generalized likelihood ratio test
Hyperspectral imagery
Lognormal distribution
Matched filter

Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter

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