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Robert S. DiPietro
Associate Staff Member at MIT Lincoln Lab
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Robert S. DiPietro is an associate staff member at MIT Lincoln Laboratory in Lexington, Massachusetts. He holds a B.S. degree in Applied Physics and Engineering and an M.S. degree in Electrical and Computer Engineering from Northeastern University. His current research focuses on hyperspectral detection algorithms in the VIS/NIR and LWIR domains. His other interests include digital signal processing, image processing, and pattern recognition.
Publications (4)
Proceedings Article | 22 October 2013 Paper
Efficient implementations of hyperspectral chemical-detection algorithms
Cory J. Brett, Robert DiPietro, Dimitris Manolakis, Vinay Ingle
Proceedings Volume 8897, 88970T (2013) https://doi.org/10.1117/12.2028562
KEYWORDS: Sensors, MATLAB, Mahalanobis distance, Clouds, Detection and tracking algorithms, C++, Hyperspectral imaging, Long wavelength infrared, Linear algebra, Spectral data processing
Proceedings Article | 25 October 2012 Paper
False-alarm characterization in hyperspectral gas-detection applications
Robert DiPietro, Eric Truslow, Dimitris Manolakis, Steven Golowich, Ronald Lockwood
Proceedings Volume 8515, 85150I (2012) https://doi.org/10.1117/12.929037
KEYWORDS: Sensors, Data modeling, Mahalanobis distance, Long wavelength infrared, Clouds, Systems modeling, Statistical analysis, Infrared sensors, Electroluminescent displays, Detection and tracking algorithms
SPIE Journal Paper | 10 February 2012
Hyperspectral matched filter with false-alarm mitigation
Robert DiPietro, Dimitris Manolakis, Ronald Lockwood, Thomas Cooley, John Jacobson
OE, Vol. 51, Issue 1, 016202, (February 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.1.016202
KEYWORDS: Target detection, Sensors, Detection and tracking algorithms, Mahalanobis distance, Optical filters, Hyperspectral target detection, Optical engineering, Hyperspectral imaging, Algorithm development, Electronic filtering
Proceedings Article | 13 May 2010 Paper
Performance evaluation of hyperspectral detection algorithms for subpixel objects
R. DiPietro, D. Manolakis, R. Lockwood, T. Cooley, J. Jacobson
Proceedings Volume 7695, 76951W (2010) https://doi.org/10.1117/12.850036
KEYWORDS: Sensors, Detection and tracking algorithms, Target detection, Hyperspectral imaging, Mahalanobis distance, Statistical analysis, Signal detection, Electronic filtering, Hyperspectral target detection, Performance modeling
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