Dr. Ryan R. Close Profile

Dr. Ryan R. Close

at DEVCOM C5ISR

SPIE Involvement:

Author

Area of Expertise:

Remote Sensing , Machine Learning/Pattern Recognition , Hyperspectral Image Analysis , Aided/Automatic Target Recognition , LIDAR

Proceedings Article | 13 May 2016 Paper

Analysis of laser return pulse from multilayered objects

Jim Hollinger, Alyssa Vessey, Ryan Close, Seth Middleton, Kathryn Williams, Ronald Rupp, Son Nguyen

Proceedings Volume 9859, 985903 (2016) https://doi.org/10.1117/12.2222544

KEYWORDS: Pulsed laser operation, LIDAR, Optical simulations, Avalanche photodetectors, Sensors, Laser range finders, Radon, Photons, Reflection, Reflectivity

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Proceedings Article | 13 May 2016 Paper

Results and conclusions: perception sensor study for high speed autonomous operations

Anne Schneider, Zachary LaCelle, Alberto Lacaze, Karl Murphy, Ryan Close

Proceedings Volume 9859, 985902 (2016) https://doi.org/10.1117/12.2222543

KEYWORDS: Sensors, LIDAR, Prototyping, Visualization, Clouds, Reflectivity, Roads, Neodymium, Robotics, Spatial resolution

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Proceedings Article | 3 May 2016 Paper

Multiple-modality program for standoff detection of roadside hazards

Kathryn Williams, Seth Middleton, Ryan Close, Robert Luke, Rajiv Suri

Proceedings Volume 9823, 98231O (2016) https://doi.org/10.1117/12.2222906

KEYWORDS: Sensors, Radar, Standoff detection, Explosives, Data analysis, Explosives detection, Hazard analysis, Detection and tracking algorithms, Roads, Environmental sensing

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Proceedings Article | 3 May 2016 Paper

Advances in ground vehicle-based LADAR for standoff detection of road-side hazards

Jim Hollinger, Alyssa Vessey, Ryan Close, Seth Middleton, Kathryn Williams, Ronald Rupp, Son Nguyen

Proceedings Volume 9823, 98231P (2016) https://doi.org/10.1117/12.2222558

KEYWORDS: LIDAR, Sensors, Standoff detection, Detection and tracking algorithms, Environmental sensing, Vegetation, Radar, Pulsed laser operation, Reflectors, Extremely high frequency

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Proceedings Article | 18 June 2015 Paper

Resolving ranges of layered objects using ground vehicle LiDAR

Jim Hollinger, Brett Kutscher, Ryan Close

Proceedings Volume 9494, 94940D (2015) https://doi.org/10.1117/12.2177035

KEYWORDS: LIDAR, Pulsed laser operation, Time of flight cameras, Reflection, Target detection, Vegetation, Cameras, Modulation, Phase shift keying, Robotics

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Proceedings Article | 18 June 2015 Paper

Sensor study for high speed autonomous operations

Anne Schneider, Zachary La Celle, Alberto Lacaze, Karl Murphy, Mark Del Giorno, Ryan Close

Proceedings Volume 9494, 949408 (2015) https://doi.org/10.1117/12.2176596

KEYWORDS: Sensors, Clouds, Spatial resolution, Roads, LIDAR, Robotics, Radar, Visualization, Robotic systems, Analytical research

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Proceedings Article | 22 May 2015 Paper

Fusion of lidar and radar for detection of partially obscured objects

Jim Hollinger, Brett Kutscher, Ryan Close

Proceedings Volume 9468, 946806 (2015) https://doi.org/10.1117/12.2177050

KEYWORDS: Radar, LIDAR, Sensors, Vegetation, Extremely high frequency, Target detection, Data fusion, Sensor fusion, Radar sensor technology, Motion measurement

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Proceedings Article | 14 May 2015 Paper

Ground vehicle based ladar for standoff detection of road-side hazards

Jim Hollinger, Ryan Close

Proceedings Volume 9454, 94540J (2015) https://doi.org/10.1117/12.2177009

KEYWORDS: LIDAR, Sensors, Target detection, Detection and tracking algorithms, Vegetation, Radar, Pulsed laser operation, Standoff detection, Navigation systems, Motion measurement

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SPIE Journal Paper | 29 April 2014

Hyperspectral unmixing using macroscopic and microscopic mixture models

Ryan Close, Paul Gader, Joseph Wilson

JARS, Vol. 8, Issue 01, 083642, (April 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083642

KEYWORDS: Data modeling, Received signal strength, Reflectivity, Particles, Error analysis, Neural networks, Algorithm development, Hyperspectral imaging, Sensors, Evolutionary algorithms

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Proceedings Article | 15 October 2012 Paper

Endmember extraction using the physics-based multi-mixture pixel model

Ryan Close, Paul Gader, Alina Zare, Joseph Wilson, Dmitri Dranishnikov

Proceedings Volume 8515, 85150L (2012) https://doi.org/10.1117/12.930288

KEYWORDS: Reflectivity, Data modeling, Particles, Error analysis, Bidirectional reflectance transmission function, Received signal strength, Hyperspectral imaging, Sensors, Remote sensing, Solids

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Proceedings Article | 24 May 2012 Paper

Using physics-based macroscopic and microscopic mixture models for hyperspectral pixel unmixing

Ryan Close, Paul Gader, Joseph Wilson, Alina Zare

Proceedings Volume 8390, 83901L (2012) https://doi.org/10.1117/12.919583

KEYWORDS: Reflectivity, Error analysis, Particles, Data modeling, Bidirectional reflectance transmission function, Hyperspectral imaging, Received signal strength, Statistical analysis, Sensors, Neural networks

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Proceedings Article | 23 May 2011 Paper

Using predictive distributions to estimate uncertainty in classifying landmine targets

Ryan Close, Ken Watford, Taylor Glenn, Paul Gader, Joseph Wilson

Proceedings Volume 8017, 801724 (2011) https://doi.org/10.1117/12.887357

KEYWORDS: Land mines, Data modeling, Neural networks, Explosives, Target detection, Process modeling, Neurons, Signal detection, Image processing, Classification systems

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Proceedings Article | 29 April 2010 Paper

Quantifying the benefit of airborne and ground sensor fusion for target detection

Alina Zare, Miranda Silvious, Ryan Close, Paul Gader

Proceedings Volume 7664, 76640J (2010) https://doi.org/10.1117/12.863838

KEYWORDS: General packet radio service, Multispectral imaging, Target detection, Ground penetrating radar, Detection and tracking algorithms, Sensor fusion, Sensors, Data modeling, Airborne remote sensing, Land mines

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Showing 5 of 13 publications

Conference Committee Involvement (5)

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII

10 April 2017 | Anaheim, CA, United States

Sensors for Next-Generation Robotics III

21 April 2016 | Baltimore, MD, United States

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI

18 April 2016 | Baltimore, MD, United States

Sensors for Next-Generation Robotics II

22 April 2015 | Baltimore, MD, United States

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX

20 April 2015 | Baltimore, MD, United States

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