Dr. Dalton S. Rosario Profile

Dr. Dalton S. Rosario

Team Lead, Collection Enhancement & Visualization at DEVCOM Army Research Lab

SPIE Involvement:

Author

Publications (31)

Proceedings Article | 10 May 2019 Paper

Understanding of multi-domain battle challenges: AI/ML and the day/night thermal variability of targets

Patrick Rauss, Dalton Rosario

Proceedings Volume 11006, 110061W (2019) https://doi.org/10.1117/12.2517510

KEYWORDS: Long wavelength infrared, Detection and tracking algorithms, Network architectures, Infrared radiation, Sensors, Sun, Machine learning, Vegetation, Hyperspectral target detection

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Proceedings Article | 8 May 2018 Paper

Spectral-elevation data registration using visible-SWIR spatial correspondence

Dalton Rosario, Anthony Ortiz

Proceedings Volume 10644, 106440C (2018) https://doi.org/10.1117/12.2303923

KEYWORDS: Short wave infrared radiation, Data fusion, 3D modeling, Image fusion, Visualization, LIDAR, Data modeling, Image registration, Orthophoto maps, 3D image processing

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SPIE Journal Paper | 19 June 2017

Deep greedy learning under thermal variability in full diurnal cycles

Patrick Rauss, Dalton Rosario

OE, Vol. 56, Issue 08, 081809, (June 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.8.081809

KEYWORDS: Data modeling, Long wavelength infrared, Infrared radiation, Content addressable memory, Temperature metrology

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Proceedings Article | 5 May 2017 Presentation + Paper

Characterizing the temporal and spatial variability of longwave infrared spectral images of targets and backgrounds

Nirmalan Jeganathan, John Kerekes, Dalton Rosario

Proceedings Volume 10198, 101980K (2017) https://doi.org/10.1117/12.2262506

KEYWORDS: Long wavelength infrared, Target detection, Sensors, Infrared imaging, Infrared radiation, Vegetation, Single mode fibers, Detection and tracking algorithms, Analytical research, Aluminum

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Proceedings Article | 5 May 2017 Presentation + Paper

Deep learning over diurnal and other environmental effects

Dalton Rosario, Patrick Rauss

Proceedings Volume 10198, 101980E (2017) https://doi.org/10.1117/12.2262866

KEYWORDS: Long wavelength infrared, Infrared imaging, Hyperspectral imaging, Infrared radiation, Environmental sensing, Analytical research, Infrared signatures, Machine learning, Data modeling, Network architectures, Roads, Sensors, Temperature metrology

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Proceedings Article | 17 May 2016 Paper

Solid target spectral variability in LWIR

Dalton Rosario, Christoph Borel, Joao Romano

Proceedings Volume 9840, 98400Q (2016) https://doi.org/10.1117/12.2222939

KEYWORDS: Long wavelength infrared, Solids, Pattern recognition, Black bodies, Data modeling, Sensors, Calibration, Target detection, Spectral resolution, Remote sensing

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Proceedings Article | 1 September 2015 Paper

Morphological operators for enhanced polarimetric image target detection

João Romano, Dalton Rosario

Proceedings Volume 9613, 96130R (2015) https://doi.org/10.1117/12.2185597

KEYWORDS: Polarimetry, Target detection, Image enhancement, Polarization, Long wavelength infrared, Detection and tracking algorithms, Image filtering, Databases, Image processing, Sensors

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Proceedings Article | 21 May 2015 Paper

Pattern recognition in hyperspectral persistent imaging

Dalton Rosario, Joao Romano, Christoph Borel

Proceedings Volume 9472, 947204 (2015) https://doi.org/10.1117/12.2177425

KEYWORDS: Long wavelength infrared, Sensors, Pattern recognition, Clouds, Calibration, Hyperspectral imaging, Spectral resolution, Black bodies, Data acquisition, Atmospheric modeling

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Proceedings Article | 13 June 2014 Paper

First observations using SPICE hyperspectral dataset

Dalton Rosario, Joao Romano, Christoph Borel

Proceedings Volume 9088, 90880O (2014) https://doi.org/10.1117/12.2049983

KEYWORDS: Sensors, Long wavelength infrared, Calibration, Clouds, Atmospheric modeling, Atmospheric sensing, Spectral resolution, Black bodies, Data acquisition, Remote sensing

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Proceedings Article | 21 May 2014 Paper

A covariance-based anomaly detector for polarimetric remote sensing applications

Joao Romano, Dalton Rosario

Proceedings Volume 9099, 90990E (2014) https://doi.org/10.1117/12.2050398

KEYWORDS: Palladium, Sensors, Polarimetry, Principal component analysis, Detection and tracking algorithms, Polarization, Remote sensing, Target detection, Statistical analysis, Long wavelength infrared

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Proceedings Article | 18 May 2013 Paper

A multistage framework for dismount spectral verification in the VNIR

Dalton Rosario

Proceedings Volume 8743, 87430E (2013) https://doi.org/10.1117/12.2015411

KEYWORDS: Skin, Fourier transforms, RGB color model, Detection and tracking algorithms, Sensors, Target detection, Hyperspectral imaging, Hyperspectral target detection, Quantization, Reflectivity

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Proceedings Article | 15 October 2012 Paper

Range-invariant anomaly detection applied to imaging Fourier transform spectrometry data

Christoph Borel, Dalton Rosario, Joao Romano

Proceedings Volume 8515, 85150J (2012) https://doi.org/10.1117/12.930177

KEYWORDS: Calibration, Sensors, Black bodies, Fourier transforms, Detection and tracking algorithms, Spectroscopy, Image processing, Algorithm development, Data processing, Niobium

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Proceedings Article | 15 May 2012 Paper

VNIR data processing of small (human) targets

Dalton Rosario

Proceedings Volume 8393, 839306 (2012) https://doi.org/10.1117/12.918357

KEYWORDS: Skin, Fourier transforms, Detection and tracking algorithms, Sensors, Hyperspectral imaging, Human subjects, Reflectivity, Algorithm development, Target detection, Blood

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Proceedings Article | 27 May 2011 Paper

Smart compression using high-dimensional imagery

Dalton Rosario

Proceedings Volume 8063, 80630C (2011) https://doi.org/10.1117/12.883991

KEYWORDS: Sensors, Image processing, Data compression, Data modeling, Mahalanobis distance, Target detection, Expectation maximization algorithms, Detection and tracking algorithms, Image compression, Defense and security

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Proceedings Article | 13 May 2010 Paper

Hyperspectral object tracking using small sample size

Dalton Rosario, Henry Kling

Proceedings Volume 7695, 76950I (2010) https://doi.org/10.1117/12.850359

KEYWORDS: Detection and tracking algorithms, Statistical analysis, Target detection, Kinematics, Feature extraction, Sensors, Image processing, Video, Hyperspectral imaging, Remote sensing

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Proceedings Article | 13 May 2010 Paper

Spectral imagery collection experiment

Joao Romano, Dalton Rosario, Vincent Farley, Brian Sohr

Proceedings Volume 7695, 76950K (2010) https://doi.org/10.1117/12.849912

KEYWORDS: Sensors, Calibration, Algorithm development, Polarimetry, Databases, Black bodies, Infrared imaging, Mid-IR, Infrared radiation, Hyperspectral imaging

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Proceedings Article | 4 May 2010 Paper

Hyper-Cam automated calibration method for continuous hyperspectral imaging measurements

Jean-Philippe Gagnon, Zewdu Habte, Jacks George, Vincent Farley, Pierre Tremblay, Martin Chamberland, Joao Romano, Dalton Rosario

Proceedings Volume 7687, 76870E (2010) https://doi.org/10.1117/12.849704

KEYWORDS: Calibration, Sensors, Medium wave, Black bodies, Hyperspectral imaging, Temperature metrology, Staring arrays, Infrared imaging, Software development, Mid-IR

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The midwave and longwave infrared regions of the electromagnetic spectrum contain rich information which can be captured by hyperspectral sensors thus enabling enhanced detection of targets of interest. A continuous hyperspectral imaging measurement capability operated 24/7 over varying seasons and weather conditions permits the evaluation of hyperspectral imaging for detection of different types of targets in real world environments. Such a measurement site was built at Picatinny Arsenal under the Spectral and Polarimetric Imagery Collection Experiment (SPICE), where two Hyper-Cam hyperspectral imagers are installed at the Precision Armament Laboratory (PAL) and are operated autonomously since Fall of 2009. The Hyper-Cam are currently collecting a complete hyperspectral database that contains the MWIR and LWIR hyperspectral measurements of several targets under day, night, sunny, cloudy, foggy, rainy and snowy conditions. The Telops Hyper-Cam sensor is an imaging spectrometer that enables the spatial and spectral analysis capabilities using a single sensor. It is based on the Fourier-transform technology yielding high spectral resolution and enabling high accuracy radiometric calibration. It provides datacubes of up to 320x256 pixels at spectral resolutions of up to 0.25 cm-1. The MWIR version covers the 3 to 5 μm spectral range and the LWIR version covers the 8 to 12 μm spectral range. This paper describes the automated operation of the two Hyper-Cam sensors being used in the SPICE data collection. The Reveal Automation Control Software (RACS) developed collaboratively between Telops, ARDEC, and ARL enables flexible operating parameters and autonomous calibration. Under the RACS software, the Hyper-Cam sensors can autonomously calibrate itself using their internal blackbody targets, and the calibration events are initiated by user defined time intervals and on internal beamsplitter temperature monitoring. The RACS software is the first software developed for COTS hyperspectal sensors that allows for full autonomous data collection capability for the user. The accuracy of the automatic calibration was characterized and is presented in this paper.

Proceedings Article | 27 April 2009 Paper

Hyperspectral anomaly detection using Sony PlayStation 3

Dalton Rosario, João Romano, Rene Sepulveda

Proceedings Volume 7334, 73340K (2009) https://doi.org/10.1117/12.818297

KEYWORDS: Sensors, Algorithm development, Image processing, Parallel computing, Detection and tracking algorithms, Target detection, Long wavelength infrared, Analytical research, Infrared radiation, Composites

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Proceedings Article | 27 April 2009 Paper

VNIR hyperspectral background characterization methods in adverse weather conditions

João Romano, Dalton Rosario, Luz Roth

Proceedings Volume 7334, 733409 (2009) https://doi.org/10.1117/12.818561

KEYWORDS: Target detection, Detection and tracking algorithms, Parallel computing, Mahalanobis distance, Sensors, Fiber optic gyroscopes, Hyperspectral imaging, Hyperspectral target detection, Palladium, Image processing

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Proceedings Article | 5 May 2008 Paper

Statistical methods for analysis of hyperspectral anomaly detectors

Dalton Rosario

Proceedings Volume 6966, 69661R (2008) https://doi.org/10.1117/12.776982

KEYWORDS: Sensors, Statistical analysis, Error analysis, Data modeling, Statistical modeling, Statistical methods, Sensor performance, Image analysis, Detection and tracking algorithms, Computer simulations

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Proceedings Article | 14 April 2008 Paper

Analysis of an autonomous clutter background characterization method for hyperspectral imagery

João Romano, Dalton Rosario, Luz Roth, Eric Roese, Paul Willson

Proceedings Volume 6966, 69661Q (2008) https://doi.org/10.1117/12.775159

KEYWORDS: Sensors, Target detection, Parallel computing, Detection and tracking algorithms, Long wavelength infrared, Hyperspectral imaging, Image processing, Hyperspectral target detection, Algorithms, Palladium

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Proceedings Article | 7 May 2007 Paper

Random sampling statistical analysis for adaptive target-scale-invariant hyperspectral anomaly detection

João Romano, Dalton Rosario

Proceedings Volume 6565, 656522 (2007) https://doi.org/10.1117/12.719082

KEYWORDS: Sensors, Parallel computing, Target detection, Statistical analysis, Hyperspectral target detection, Image fusion, Image processing, Hyperspectral imaging, Process modeling, Sensor performance

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Proceedings Article | 26 April 2007 Paper

Wide-area hyperspectral chemical plume detection using parallel random sampling

Dalton Rosario, John Romano

Proceedings Volume 6554, 65540A (2007) https://doi.org/10.1117/12.720905

KEYWORDS: Sensors, Parallel computing, Target detection, Algorithm development, Long wavelength infrared, Detection and tracking algorithms, Statistical analysis, Process modeling, Image fusion, Statistical modeling

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Proceedings Article | 4 May 2006 Paper

Principle of indirect comparison (PIC): simulation and analysis of PIC-based anomaly detection in multispectral data

Dalton Rosario

Proceedings Volume 6233, 623323 (2006) https://doi.org/10.1117/12.666081

KEYWORDS: Sensors, Target detection, Data modeling, Photonic integrated circuits, Statistical modeling, Statistical analysis, Image analysis, Ferroelectric LCDs, Hyperspectral simulation, Analytical research

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Proceedings Article | 1 June 2005 Paper

The AsemiP anomaly detector: comparative performance in hyperspectral imagery

Dalton Rosario, Ruben Galbraith

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.603977

KEYWORDS: Sensors, Hyperspectral imaging, Sensor performance, Lithium, Algorithm development, Detection and tracking algorithms, Image sensors, Surveillance

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Proceedings Article | 21 September 2004 Paper

A semiparametric approach using the discriminant metric SAM (spectral angle mapper)

Dalton Rosario

Proceedings Volume 5426, (2004) https://doi.org/10.1117/12.541005

KEYWORDS: Sensors, Target detection, Detection and tracking algorithms, Image sensors, Hyperspectral imaging, Data storage, Probability theory, Distortion, Mathematical modeling, Composites

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Proceedings Article | 16 September 2003 Paper

Higher-order zero crossings for HSI ATD

Dalton Rosario, Nasser Nasrabadi

Proceedings Volume 5094, (2003) https://doi.org/10.1117/12.486333

KEYWORDS: Frequency modulation, Amplitude modulation, Target detection, Sensors, Data modeling, Detection and tracking algorithms, Electronic filtering, Fermium, Expectation maximization algorithms, Optical filters

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Proceedings Article | 25 July 2002 Paper

Multivariate regression as a method for FLIR target detection

Dalton Rosario

Proceedings Volume 4726, (2002) https://doi.org/10.1117/12.477016

KEYWORDS: Infrared radiation, Convolution, Target detection, Infrared imaging, Detection and tracking algorithms, Forward looking infrared, Automatic target recognition, Sensors, Infrared detectors, Thermography

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Proceedings Article | 27 August 2001 Paper

Stochastic process modeling and Monte Carlo simulation: assisting higher-level decision making for aided target recognition networks

Dalton Rosario

Proceedings Volume 4382, (2001) https://doi.org/10.1117/12.438237

KEYWORDS: Digital signal processing, Monte Carlo methods, Systems modeling, Stochastic processes, Statistical analysis, Automatic target recognition, Mathematical modeling, Performance modeling, Target recognition, Surveillance

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Proceedings Article | 24 August 2000 Paper

End-to end performance of the TESAR ATR system

Dalton Rosario

Proceedings Volume 4053, (2000) https://doi.org/10.1117/12.396379

KEYWORDS: Detection and tracking algorithms, Automatic target recognition, Sensors, Synthetic aperture radar, Target detection, Radar, Missiles, Unmanned aerial vehicles, Image processing, Binary data

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Proceedings Article | 13 August 1999 Paper

New automated terrain and feature extraction approach for the Predator UAV TESAR ATR system

Dalton Rosario

Proceedings Volume 3721, (1999) https://doi.org/10.1117/12.357691

KEYWORDS: Sensors, Synthetic aperture radar, Target detection, Automatic target recognition, Radar, Unmanned aerial vehicles, Detection and tracking algorithms, Buildings, Fourier transforms, Statistical analysis

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Showing 5 of 31 publications

Conference Committee Involvement (4)

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV

16 April 2018 | Orlando, FL, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII

11 April 2017 | Anaheim, CA, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII

18 April 2016 | Baltimore, MD, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI

21 April 2015 | Baltimore, MD, United States

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