Dr. Christopher R. Ratto Profile

Dr. Christopher R. Ratto

at Johns Hopkins Univ Applied Physics Lab

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 16 June 2023 Presentation + Paper

Automated global-scale detection and characterization of anthropogenic activity using multi-source satellite-based remote sensing imagery

Hirsh Goldberg, Christopher Ratto, Amit Banerjee, Michael Kelbaugh, Mark Giglio, Eric Vermote

Proceedings Volume 12525, 1252502 (2023) https://doi.org/10.1117/12.2663071

KEYWORDS: Satellites, Algorithm development, Satellite imaging, Earth observing sensors, Object detection, Evolutionary algorithms, Machine learning

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Proceedings Article | 12 June 2023 Presentation + Paper

Semi-supervised domain transfer for robust maritime satellite image classification

Patrick Emmanuel, Christopher Ratto, Nathan Drenkow, Jared Markowitz

Proceedings Volume 12538, 1253813 (2023) https://doi.org/10.1117/12.2661684

KEYWORDS: Machine learning, Satellite imaging, Satellites, Earth observing sensors, Image classification, Detection and tracking algorithms, Maritime surveillance

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Proceedings Article | 12 April 2021 Presentation

The JHU/APL AI technology roadmap: research and exploratory development on the path to intelligent systems for every mission

Michael Wolmetz, Kapil Katyal, Christopher Ratto, Bart Paulhamus, I-Jeng Wang, Ashley Llorens

Proceedings Volume 11746, 117460A (2021) https://doi.org/10.1117/12.2593329

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Proceedings Article | 21 May 2015 Paper

Information surfing with the JHU/APL coherent imager

Christopher Ratto, Kara Shipley, Nathaniel Beagley, Kevin Wolfe

Proceedings Volume 9454, 94541F (2015) https://doi.org/10.1117/12.2176338

KEYWORDS: Metals, Sensors, Imaging systems, Holography, Forensic science, Image processing, Holograms, Matrices, Sodium, Digital holography

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Proceedings Article | 29 May 2014 Paper

Feature based recognition of submerged objects in holographic imagery

Christopher Ratto, Nathaniel Beagley, Kevin Baldwin, Kara Shipley, Wayne Sternberger

Proceedings Volume 9072, 907205 (2014) https://doi.org/10.1117/12.2049742

KEYWORDS: Holography, Imaging systems, Image segmentation, Metals, Holograms, Feature extraction, 3D image reconstruction, Object recognition, Image processing, Fourier transforms

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Proceedings Article | 11 May 2012 Paper

Integration of lidar with the NIITEK GPR for improved performance on rough terrain

Christopher Ratto, Kenneth Morton, Ian McMichael, Brian Burns, William Clark, Leslie Collins, Peter Torrione

Proceedings Volume 8357, 83571U (2012) https://doi.org/10.1117/12.919119

KEYWORDS: General packet radio service, LIDAR, Land mines, Detection and tracking algorithms, Antennas, Metals, Target detection, Sensors, Prototyping, Global Positioning System

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Proceedings Article | 11 May 2012 Paper

Change-based threat detection in urban environments with a forward-looking camera

Kenneth Morton, Christopher Ratto, Jordan Malof, Michael Gunter, Leslie Collins, Peter Torrione

Proceedings Volume 8357, 83571M (2012) https://doi.org/10.1117/12.917721

KEYWORDS: Video, Cameras, Explosives, Distance measurement, Video processing, Detection and tracking algorithms, Environmental sensing, Land mines, Roads, Light sources and illumination

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Proceedings Article | 11 May 2012 Paper

A Bayesian method for discriminative context-dependent fusion of GPR-based detection algorithms

Christopher Ratto, Kenneth Morton, Leslie Collins, Peter Torrione

Proceedings Volume 8357, 835723 (2012) https://doi.org/10.1117/12.919079

KEYWORDS: General packet radio service, Land mines, Detection and tracking algorithms, Data fusion, Feature extraction, Metals, Performance modeling, Ground penetrating radar, Sensors, Soil science

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Proceedings Article | 23 May 2011 Paper

Contextual learning in ground-penetrating radar data using Dirichlet process priors

Christopher Ratto, Kenneth Morton, Leslie Collins, Peter Torrione

Proceedings Volume 8017, 80171S (2011) https://doi.org/10.1117/12.884872

KEYWORDS: General packet radio service, Data modeling, Land mines, Detection and tracking algorithms, Process modeling, Performance modeling, Ground penetrating radar, Feature selection, 3D modeling, Data processing

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Proceedings Article | 23 May 2011 Paper

Change detection for detecting potential threats in forward-looking video and downward-looking ground-penetrating radar data

Peter Torrione, Kenneth Morton, Christopher Ratto, Michael Gunter, Leslie Collins

Proceedings Volume 8017, 801721 (2011) https://doi.org/10.1117/12.884122

KEYWORDS: Video, General packet radio service, Roads, Land mines, Cameras, Video processing, Explosives, Feature extraction, Ground penetrating radar, Sensors

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Proceedings Article | 23 May 2011 Paper

Physics-based features for identifying contextual factors affecting landmine detection with ground-penetrating radar

Christopher Ratto, Kenneth Morton, Leslie Collins, Peter Torrione

Proceedings Volume 8017, 80171Q (2011) https://doi.org/10.1117/12.884868

KEYWORDS: General packet radio service, Dielectrics, Land mines, Reflection, Finite-difference time-domain method, Feature extraction, Data modeling, Computer simulations, Ground penetrating radar, Environmental sensing

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Proceedings Article | 29 April 2010 Paper

Context-dependent feature selection using unsupervised contexts applied to GPR-based landmine detection

Christopher Ratto, Peter Torrione, Leslie Collins

Proceedings Volume 7664, 76642I (2010) https://doi.org/10.1117/12.850906

KEYWORDS: General packet radio service, Land mines, Feature extraction, Data modeling, Autoregressive models, Feature selection, Fourier transforms, Detection and tracking algorithms, Soil science, Reflection

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Proceedings Article | 5 May 2009 Paper

Context-dependent feature selection for landmine detection with ground-penetrating radar

Christopher Ratto, Peter Torrione, Leslie Collins

Proceedings Volume 7303, 730327 (2009) https://doi.org/10.1117/12.817946

KEYWORDS: General packet radio service, Autoregressive models, Land mines, Feature extraction, Feature selection, Detection and tracking algorithms, Environmental sensing, Data modeling, Antennas, Ground penetrating radar

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Showing 5 of 13 publications

Conference Committee Involvement (3)

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII

13 April 2025 | Orlando, Florida, United States

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI

22 April 2024 | National Harbor, Maryland, United States

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V

1 May 2023 | Orlando, Florida, United States

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