Simplex ACE: a constrained subspace detector
Abstract
In hyperspectral target detection, one must contend with variability in both target materials and background clutter. While most algorithms focus on the background clutter, there are some materials for which there is substantial variability in the signatures of the target. When multiple signatures can be used to describe a target material, subspace detectors are often the detection algorithm of choice. However, as the number of variable target spectra increases, so does the size of the target subspace spanned by these spectra, which in turn increases the number of false alarms. Here in this paper, we propose a modification to this approach, wherein the target subspace is instead a constrained subspace, or a simplex without the sum-to-one constraint. We derive the simplex adaptive matched filter (simplex AMF) and the simplex adaptive cosine estimator (simplex ACE), which are constrained basis adaptations of the traditional subspace AMF and subspace ACE detectors. We present results using simplex AMF and simplex ACE for variable targets, and compare their performances against their subspace counterparts. Our primary interest is in the simplex ACE detector, and as such, the experiments herein seek to evaluate the robustness of simplex ACE, with simplex AMF included for comparison. Results are shownmore »
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1460642
- Report Number(s):
- LA-UR-17-21174
Journal ID: ISSN 0091-3286
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Optical Engineering
- Additional Journal Information:
- Journal Volume: 56; Journal Issue: 8; Journal ID: ISSN 0091-3286
- Publisher:
- SPIE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; hyperspectral; target detection; target variability; adaptive cosine estimator; simplex ACE; subspace ACE
Citation Formats
Ziemann, Amanda, and Theiler, James Patrick. Simplex ACE: a constrained subspace detector. United States: N. p., 2017.
Web. doi:10.1117/1.OE.56.8.081808.
Ziemann, Amanda, & Theiler, James Patrick. Simplex ACE: a constrained subspace detector. United States. https://doi.org/10.1117/1.OE.56.8.081808
Ziemann, Amanda, and Theiler, James Patrick. Thu .
"Simplex ACE: a constrained subspace detector". United States. https://doi.org/10.1117/1.OE.56.8.081808. https://www.osti.gov/servlets/purl/1460642.
@article{osti_1460642,
title = {Simplex ACE: a constrained subspace detector},
author = {Ziemann, Amanda and Theiler, James Patrick},
abstractNote = {In hyperspectral target detection, one must contend with variability in both target materials and background clutter. While most algorithms focus on the background clutter, there are some materials for which there is substantial variability in the signatures of the target. When multiple signatures can be used to describe a target material, subspace detectors are often the detection algorithm of choice. However, as the number of variable target spectra increases, so does the size of the target subspace spanned by these spectra, which in turn increases the number of false alarms. Here in this paper, we propose a modification to this approach, wherein the target subspace is instead a constrained subspace, or a simplex without the sum-to-one constraint. We derive the simplex adaptive matched filter (simplex AMF) and the simplex adaptive cosine estimator (simplex ACE), which are constrained basis adaptations of the traditional subspace AMF and subspace ACE detectors. We present results using simplex AMF and simplex ACE for variable targets, and compare their performances against their subspace counterparts. Our primary interest is in the simplex ACE detector, and as such, the experiments herein seek to evaluate the robustness of simplex ACE, with simplex AMF included for comparison. Results are shown on hyperspectral images using both implanted and ground-truthed targets, and demonstrate the robustness of simplex ACE to target variability.},
doi = {10.1117/1.OE.56.8.081808},
journal = {Optical Engineering},
number = 8,
volume = 56,
place = {United States},
year = {Thu Jun 15 00:00:00 EDT 2017},
month = {Thu Jun 15 00:00:00 EDT 2017}
}
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Works referenced in this record:
Hyperspectral target detection in a whitened space utilizing forward modeling concepts
conference, June 2010
- Ientilucci, Emmett J.; Bajorski, Peter
- 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Determination of trace-gas amounts in plumes by the use of orthogonal digital filtering of thermal-emission spectra
journal, January 1996
- Hayden, Andreas; Niple, Edward; Boyce, Bruce
- Applied Optics, Vol. 35, Issue 16
An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery
journal, June 2014
- Matteoli, Stefania; Diani, Marco; Theiler, James
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, Issue 6
A hybrid algorithm for subpixel detection in hyperspectral imagery
conference, January 2004
- Joshua Broadwater, Reuven Meth
- IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004
SpecTIR hyperspectral airborne Rochester experiment data collection campaign
conference, May 2012
- Herweg, Jared A.; Kerekes, John P.; Weatherbee, Oliver
- SPIE Defense, Security, and Sensing, SPIE Proceedings
The SHARE 2012 data campaign
conference, May 2013
- Giannandrea, AnneMarie; Raqueno, Nina; Messinger, David W.
- SPIE Defense, Security, and Sensing, SPIE Proceedings
Performance of an adaptive detection algorithm; rejection of unwanted signals
journal, March 1989
- Kelly, E. J.
- IEEE Transactions on Aerospace and Electronic Systems, Vol. 25, Issue 2
Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery
journal, April 2010
- Theiler, James; Scovel, Clint; Wohlberg, Brendt
- IEEE Geoscience and Remote Sensing Letters, Vol. 7, Issue 2
High-speed atmospheric correction for spectral image processing
conference, May 2012
- Perkins, Timothy; Adler-Golden, Steven; Cappelaere, Patrice
- SPIE Defense, Security, and Sensing, SPIE Proceedings
Unsupervised methods for the classification of hyperspectral images with low spatial resolution
journal, June 2013
- Villa, A.; Chanussot, J.; Benediktsson, J. A.
- Pattern Recognition, Vol. 46, Issue 6
Infrared hyperspectral imaging results from vapor plume experiments
conference, June 1995
- Bennett, Charles L.; Carter, Michael R.; Fields, David J.
- SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, SPIE Proceedings
Hyperspectral Detection and Identification with Constrained Target Subspaces
conference, July 2008
- Adler-Golden, S.; Gruninger, J.; Sundberg, R.
- IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Characterizing non-Gaussian clutter and detecting weak gaseous plumes in hyperspectral imagery
conference, June 2005
- Theiler, James; Foy, Bernard R.; Fraser, Andrew M.
- Defense and Security, SPIE Proceedings
Local spectral unmixing for target detection
conference, March 2016
- Ziemann, Amanda K.
- 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Metrics of spectral image complexity with application to large area search
journal, March 2012
- Messinger, David W.
- Optical Engineering, Vol. 51, Issue 3
Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms
journal, January 2014
- Manolakis, Dimitris; Truslow, Eric; Pieper, Michael
- IEEE Signal Processing Magazine, Vol. 31, Issue 1
Survey of geometric and statistical unmixing algorithms for hyperspectral images
conference, June 2010
- Parente, Mario; Plaza, Antonio
- 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Spectral subspace matched filtering
conference, August 2001
- Schaum, Alan P.
- Aerospace/Defense Sensing, Simulation, and Controls, SPIE Proceedings
Hyperspectral detection and discrimination using the ACE algorithm
conference, September 2011
- Pieper, M. L.; Manolakis, D.; Lockwood, R.
- SPIE Optical Engineering + Applications, SPIE Proceedings
Very High Resolution Multiangle Urban Classification Analysis
journal, April 2012
- Longbotham, Nathan; Chaapel, Chuck; Bleiler, Laurence
- IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, Issue 4
Instance influence estimation for hyperspectral target signature characterization using extended functions of multiple instances
conference, May 2016
- Zou, Sheng; Zare, Alina
- SPIE Defense + Security, SPIE Proceedings
A CFAR adaptive matched filter detector
journal, January 1992
- Robey, F. C.; Fuhrmann, D. R.; Kelly, E. J.
- IEEE Transactions on Aerospace and Electronic Systems, Vol. 28, Issue 1
Graph-based and statistical approaches for detecting spectrally variable target materials
conference, May 2016
- Ziemann, Amanda K.; Theiler, James
- SPIE Defense + Security, SPIE Proceedings
Right spectrum in the wrong place: a framework for local hyperspectral anomaly detection
journal, February 2016
- Theiler, James; Ziemann, Amanda K.
- Electronic Imaging, Vol. 2016, Issue 19
Rapid Convergence Rate in Adaptive Arrays
journal, November 1974
- Reed, I. S.; Mallett, J. D.; Brennan, L. E.
- IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-10, Issue 6
Matched subspace detectors
journal, January 1994
- Scharf, L. L.; Friedlander, B.
- IEEE Transactions on Signal Processing, Vol. 42, Issue 8
Detection and characterization of chemical vapor fugitive emissions by nonlinear optimal estimation: theory and simulation
journal, January 2009
- Gittins, Christopher M.
- Applied Optics, Vol. 48, Issue 23
Hybrid Detectors for Subpixel Targets
journal, November 2007
- Broadwater, Joshua; Chellappa, Rama
- IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, Issue 11
Enough with the additive target model
conference, June 2014
- Schaum, Alan
- SPIE Defense + Security, SPIE Proceedings
Target detection assessment of the SHARE 2010/2012 hyperspectral data collection campaign
conference, May 2015
- Ientilucci, Emmett J.
- SPIE Defense + Security, SPIE Proceedings
An adaptive locally linear embedding manifold learning approach for hyperspectral target detection
conference, May 2015
- Ziemann, Amanda K.; Messinger, David W.
- SPIE Defense + Security, SPIE Proceedings
Strategies for Hyperspectral Target Detection In Complex Background Environments
conference, January 2006
- Eismann, M. T.
- 2006 IEEE Aerospace Conference
Iterative convex hull volume estimation in hyperspectral imagery for change detection
conference, April 2010
- Ziemann, Amanda K.; Messinger, David W.; Basener, William F.
- SPIE Defense, Security, and Sensing, SPIE Proceedings
Invariant subpixel material detection in hyperspectral imagery
journal, March 2002
- Thai, B.; Healey, G.
- IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, Issue 3
Local background estimation and the replacement target model
conference, May 2017
- Theiler, James; Ziemann, Amanda
- SPIE Defense + Security, SPIE Proceedings
Improved covariance matrices for point target detection in hyperspectral data
journal, July 2008
- Silverman, Jerry
- Optical Engineering, Vol. 47, Issue 7
Operational and Performance Considerations of Radiative-Transfer Modeling in Hyperspectral Target Detection
journal, April 2011
- Matteoli, Stefania; Ientilucci, Emmett J.; Kerekes, John P.
- IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, Issue 4
Continuum fusion: a theory of inference, with applications to hyperspectral detection
journal, January 2010
- Schaum, Alan
- Optics Express, Vol. 18, Issue 8
A parametric study of unsupervised anomaly detection performance in maritime imagery using manifold learning techniques
conference, May 2016
- Olson, C. C.; Doster, T.
- SPIE Defense + Security, SPIE Proceedings
Quantitative reflectance spectra of solid powders as a function of particle size
journal, January 2015
- Myers, Tanya L.; Brauer, Carolyn S.; Su, Yin-Fong
- Applied Optics, Vol. 54, Issue 15
Adaptive matched subspace detectors and adaptive coherence estimators
conference, January 1997
- Scharf, L. L.; McWhorter, L. T.
- Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers
The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic
journal, February 2005
- Kraut, S.; Scharf, L. L.; Butler, R. W.
- IEEE Transactions on Signal Processing, Vol. 53, Issue 2
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
journal, April 2012
- Bioucas-Dias, José M.; Plaza, Antonio; Dobigeon, Nicolas
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, Issue 2
Development of a Web-Based Application to Evaluate Target Finding Algorithms
conference, July 2008
- Snyder, D.; Kerekes, J.; Fairweather, I.
- IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Matched subspace detectors
conference, January 1993
- Scharf, L. L.; Friedlander, B.
- Proceedings of 27th Asilomar Conference on Signals, Systems and Computers