Detection of Camouflaged Targets in Cluttered Backgrounds Using Fusion of Near Simultaneous Spectral and Polarimetric Imaging

Keywords

Camouflage, Hyperspectral imaging, Artificial intelligence, Computer science, Computer vision

References

• Dark HORSE 2 Quick-Look Report: Real-time Detection of Military Ground Targets Using an Infrared Hyperspectral Imaging SensorChristopher M. Stellman, F. Bucholtz, Joseph V. Michalowicz — 1999
• Data Fusion Processing for the Multi-Spectral Sensor Surveillance System (M4S)William H. Barker, Shozo Mori, Elizabeth G. Sullinger — 1998
• Imaging polarimeters for optical metrologyJ. Larry Pezzaniti, Russell A. Chipman — 1990
• Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distributionI.S. Reed, Xinyi Yu — 1990
• Polarized Light and Optical MeasurementD. Clarke, J. G. Grainger, Schwab S. Major — 1972

Cited by

• Polarimetric Remote Sensing in the Visible to Near InfraredRichard A. James — 2005
• A polarized clutter measurement technique based on the governing equation for polarimetric remote sensing in the visible to near infraredJames R. Shell, John R. Schott — 2005
• Spectral modulation for full linear polarimetry.Frans Snik, Theodora Karalidi, Christoph U. Keller — 2009
• Airborne net-centric multi-INT sensor control, display, fusion, and exploitation systemsDale C. Linne von Berg, John N. Lee, Melvin R. Kruer — 2004
• Edge-based cuing for detection of benthic camouflageLakshman Prasad, Hanumant Singh, Scott M. Gallager — 2016
• Robust fusion-based processing for military polarimetric imaging systemsDuncan L. Hickman, Moira I. Smith, Kyung Su Kim — 2017
• The utility of polarimetry within passive military imaging systemsDuncan L. Hickman, Moira I. Smith, Kyung Su Kim — 2017
• Exploitation of infrared polarimetric imagery for passive remote sensing applicationsJoão Romano — 2013
• Nonlinear Dimensionality Reduction for Hyperspectral Image Classification Final ReportT. Doster, Davide Benedetto, Dr. Wojciech Czaja — 2011
• Nonlinear Dimensionality Reduction for Hyperspectral Image Classification Midyear ReportTimothy Doster — 2010

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