T. Cooley - Concepedia

Author

T. Cooley

United States Air Force Research Laboratory

Also Known As

Cooley Tom, T W Cooley, T. Cooley, T. W. Cooley, T.W. Cooley, THOMAS W. COOLEY, Thomas Cooley, Thomas W. Cooley

110

Publications

2.9K

Citations

H-Index

Concepts

All Affiliations

United States Air Force Research Laboratory MIT Lincoln Laboratory Spectral Sciences (United States)K Lab (United States)Northeastern University

About

T. Cooley is an author at United States Air Force Research Laboratory specializing in engineering, remote sensing, and hyperspectral imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	27	2.1K
2	Health Sciences	3	3	466
3	Business	1	1	27
4	Language Studies	1	1	14
5	Medicine	1	1	27

T. Cooley

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation T. Cooley, Gail P. Anderson, Gerald W. Felde, Environmental MonitoringEngineeringAtmospheric SoundingAir QualityHyperspectral Imagery	2003	412
MODTRAN5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options Alexander Berk, Gail P. Anderson, Prabhat K. Acharya, EngineeringAuxiliary Molecular SpeciesAtmospheric SoundingAtmospheric ModelAuxiliary Species	2005	274
Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms Dimitris G. Manolakis, Eric Truslow, Michael Pieper, IEEE Signal Processing Magazine Environmental MonitoringEngineeringMultispectral ImagingHyperspectral Imaging SystemsDetection Technique	2013	268
Is there a best hyperspectral detection algorithm? Dimitris G. Manolakis, Ronald B. Lockwood, T. Cooley, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE EngineeringCritical ReviewMultispectral ImagingDetection AlgorithmsImage Analysis	2009	186
Analysis of Hyperion data with the FLAASH atmospheric correction algorithm Gerald W. Felde, Gail P. Anderson, T. Cooley, GeophysicsMeteorologyAtmospheric ConditionEngineeringImaging Spectroscopy	2004	161
MODTRAN 5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options: update Alexander Berk, Gail P. Anderson, Prabhat K. Acharya, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE EngineeringAtmospheric SoundingAtmospheric ModelAuxiliary SpeciesMs Option	2005	156
<title>MODTRAN4-based atmospheric correction algorithm: FLAASH (fast line-of-sight atmospheric analysis of spectral hypercubes)</title> Gail P. Anderson, Gerald W. Felde, Michael L. Hoke, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE RadarAtmospheric ConditionEngineeringSynthetic Aperture RadarAtmospheric Science	2002	98
Longwave Infrared Hyperspectral Imaging: Principles, Progress, and Challenges Dimitris G. Manolakis, Michael Pieper, Eric Truslow, IEEE Geoscience and Remote Sensing Magazine EngineeringUnique AspectsInfrared SensorOptical PropertiesSpectroscopy	2019	74
The remarkable success of adaptive cosine estimator in hyperspectral target detection Dimitris G. Manolakis, Michael Pieper, Eric Truslow, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE EngineeringMultispectral ImagingClutter ModelsSubpixel TargetsAdaptive Cosine Estimator	2013	56
Exploiting MODTRAN radiation transport for atmospheric correction: The FLAASH algorithm Alexander Berk, S. M. Adler‐Golden, Anthony J. Ratkowski, EngineeringAtmospheric SoundingHyperspectral ImageryEarth ScienceRadiative Transfer	2003	52

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