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Thomas W. Cooley

FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation
2003 · T. Cooley, G.P. Anderson, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 431
MODTRAN5: 2006 update
2006 · Alexander Berk, Gail P. Anderson, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 309
Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms
2013 · Dimitris Manolakis, Eric Truslow, et al. · IEEE Signal Processing Magazine · 286
MODTRAN5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options
2005 · Alexander Berk, Gail P. Anderson, et al. · Multispectral and Hyperspectral Remote Sensing Instruments and Applications · 277
Hyperspectral Imaging Remote Sensing
2016 · Dimitris G. Manolakis, Ronald B. Lockwood, et al. · Cambridge University Press eBooks · 225
Is there a best hyperspectral detection algorithm?
2009 · D. Manolakis, R. Lockwood, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 211
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Analysis of Hyperion data with the FLAASH atmospheric correction algorithm
2004 · G.W. Felde, G.P. Anderson, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 169
MODTRAN 5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options: update
2005 · Alexander Berk, Gail P. Anderson, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 163
MODTRAN4-based atmospheric correction algorithm: FLAASH (fast line-of-sight atmospheric analysis of spectral hypercubes)
2002 · Gail P. Anderson, Gerald W. Felde, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 105
Longwave Infrared Hyperspectral Imaging: Principles, Progress, and Challenges
2019 · Dimitris Manolakis, Michael Pieper, et al. · IEEE Geoscience and Remote Sensing Magazine · 81
The remarkable success of adaptive cosine estimator in hyperspectral target detection
2013 · D. Manolakis, M. Pieper, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 61
MODTRAN5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options
2004 · Alexander Berk, Gail P. Anderson, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 60
Exploiting MODTRAN radiation transport for atmospheric correction: The FLAASH algorithm
2003 · A. Berk, S.M. Adler-Golden, et al. · International Conference on Information Fusion (FUSION) · 53
MODTRAN5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options
2004 · Alexander Berk, Thomas W. Cooley, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 46
Hyperspectral detection algorithms: use covariances or subspaces?
2009 · D. Manolakis, R. Lockwood, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 37
Distinguishing vegetation land covers using hyperspectral imagery
2004 · J. Cipar, T. Cooley, et al. · IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data · 37
Hyperspectral matched filter with false-alarm mitigation
2012 · Robert S. DiPietro, Dimitris Manolakis, et al. · Optical Engineering · 34
Performance Prediction of Matched Filter and Adaptive Cosine Estimator Hyperspectral Target Detectors
2013 · Eric Truslow, Dimitris Manolakis, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 29
On The Spectral Correlation Structure of Hyperspectral Imaging Data
2008 · D. Manolakis, R. Lockwood, et al. · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 27
Performance evaluation of hyperspectral detection algorithms for subpixel objects
2010 · R. S. DiPietro, D. Manolakis, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 25
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Robust Matched Filters for Target Detection in Hyperspectral Imaging Data
2007 · D. Manolakis, R. Lockwood, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 24
Hyperspectral detection and discrimination using the ACE algorithm
2011 · M. L. Pieper, D. Manolakis, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 23
Design and performance of a high-T/sub c/ superconductor coplanar waveguide filter
1991 · W. Chew, A.L. Riley, et al. · IEEE Transactions on Microwave Theory and Techniques · 22
Performance limitations of temperature–emissivity separation techniques in long-wave infrared hyperspectral imaging applications
2017 · Michael L. Pieper, Dimitris Manolakis, et al. · Optical Engineering · 19
Statistical characterization of natural hyperspectral backgrounds using t -elliptically contoured distributions
2005 · D. Manolakis, M. Rossacci, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 17
Works count: 97
Citation count: 3,041
H-index: 22
I10-index: 30
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