Mr. Edmund G. Zelnio Profile

Edmund G. Zelnio

Chief of Div. at Air Force Research Lab

SPIE Involvement:

Conference Program Committee | Conference Chair | Editor | Author

Publications (60)

Proceedings Article | 15 June 2023 Presentation

Predicting calibrated confidence intervals for open set SAR target classification

Sudarshan Chakravarthy, Mark Ashby, Edmund Zelnio

Proceedings Volume PC12520, PC125200D (2023) https://doi.org/10.1117/12.2665969

KEYWORDS: Synthetic aperture radar, Calibration

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Proceedings Article | 13 June 2023 Presentation + Paper

SAMPLE with a side of MSTAR: extending SAMPLE with outliers and target variants from MSTAR

Benjamin Lewis, Mark Ashby, Edmund Zelnio

Proceedings Volume 12520, 1252007 (2023) https://doi.org/10.1117/12.2661101

KEYWORDS: Calibration, Clutter, Detection and tracking algorithms, Machine learning, Synthetic aperture radar, Target recognition

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Proceedings Article | 13 June 2023 Presentation + Paper

Synthetic aperture radar physics-based image randomization for identification training: SPIRIT

Emma Clark, Edmund Zelnio

Proceedings Volume 12520, 125200P (2023) https://doi.org/10.1117/12.2666069

KEYWORDS: Education and training, Synthetic aperture radar, Sensors, Deep learning, Neural networks

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Proceedings Article | 13 June 2023 Paper

Synthetic data, measured data integrated learning experiments

Jeremy Cavallo, Edmund Zelnio

Proceedings Volume 12520, 125200N (2023) https://doi.org/10.1117/12.2665521

KEYWORDS: Data modeling, Synthetic aperture radar, Performance modeling, Network architectures, Visualization, Deep learning, Air force

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Proceedings Article | 13 June 2022 Open Access

Automatic target recognition: past, present, future

Edmund Zelnio

Proceedings Volume PC12108, (2022) https://doi.org/10.1117/12.2632771

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Proceedings Article | 31 May 2022 Presentation + Paper

Multi-platform EO and SAR fusion for target ID

Mark Ashby, Edmund Zelnio

Proceedings Volume 12095, 1209505 (2022) https://doi.org/10.1117/12.2624109

KEYWORDS: Synthetic aperture radar, Sensors, Sun, Automatic target recognition, Data fusion, Detection and tracking algorithms, Algorithm development, Image fusion, Data modeling, Feature extraction

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Proceedings Article | 31 May 2022 Presentation + Paper

Understanding the synthetic and measured GAP from the CNN classifier perspective

Anne Major, Edmund Zelnio, Fred Garber

Proceedings Volume 12095, 120950A (2022) https://doi.org/10.1117/12.2624107

KEYWORDS: Synthetic aperture radar, Visualization, Detection and tracking algorithms, Data modeling, Target recognition, Network architectures

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Proceedings Article | 31 May 2022 Presentation + Paper

Characterizing SAR image exploitation as a function of operating conditions

Matthew Scherreik, Adam Nolan, Shaun Stephens, Lori Westerkamp, Edmund Zelnio

Proceedings Volume 12095, 1209509 (2022) https://doi.org/10.1117/12.2619263

KEYWORDS: Synthetic aperture radar, Automatic target recognition, Sensors, Data modeling

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Proceedings Article | 30 May 2022 Presentation

Comparative methods to calibrate confidence estimates of CNN-based recognition techniques

Frederick Garber, Sudarshan Chakravarthy, Edmund Zelnio

Proceedings Volume PC12095, PC1209508 (2022) https://doi.org/10.1117/12.2615545

KEYWORDS: Calibration

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Proceedings Article | 19 May 2020 Presentation + Paper

Review of recent advances in AI/ML using the MSTAR data

Erik Blasch, Uttam Majumder, Edmund Zelnio, Vincent Velten

Proceedings Volume 11393, 113930C (2020) https://doi.org/10.1117/12.2559035

KEYWORDS: Synthetic aperture radar, Automatic target recognition, Machine learning, Solid modeling, Gallium nitride, Model-based design, Sensors, Data modeling, Target recognition, Computer aided design

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Proceedings Article | 27 April 2020 Presentation

Using bayes error rate estimation to analyze feature spaces (Conference Presentation)

Sriram Bapatla, Edmund Zelnio, Elizabeth Sudkamp

Proceedings Volume 11393, 113930R (2020) https://doi.org/10.1117/12.2561773

KEYWORDS: Error analysis, Statistical analysis, Synthetic aperture radar, 3D modeling, Solid modeling, Computer aided design, Neural networks, Matrices, Visualization, 3D acquisition

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This study wishes to apply a non-parametric estimate of the Bayes Error Rate (BER) to current Air Force problems related to target classification. Whether they be neural networks, autoencoders, or other architectures, classifiers are commonly assessed through confusion matrices and associated statistics, or visualizations of feature spaces like t-SNE plots. However, these methods depend on the test data used to assess the performance of the network, not the robustness of the classifier itself. This research incorporates a different statistic that estimates the BER, or the probability of misclassification given some data, to serve as an upper bound for potential classifier performance. This estimate leverages a Friedman-Rafsky test statistic: the number of cross labels in a minimum-spanning tree (MST) through points in the feature space. The first part of this study examines the behavior of the BER estimate over a general learning process, such as different epochs of the training process in a neural network. The second part of the study examines whether certain factors affect the separability of synthetic aperture radar (SAR) images of targets of interest. Given the fact that it is often difficult and expensive to survey real targets and generate SAR images, 3-D CAD models are frequently used to generate synthetic SAR images. However, given that many resources are devoted to perfecting these models, this study applies the BER estimate to examine whether minute changes to CAD models affect separability in the image domain. The results seem to indicate that, if the topology of the target is maintained in the CAD domain, low-fidelity versions of targets (with 25% the number of faces of highly accurate models), exhibit separability and ability to be correctly classified identical to their high-fidelity counterparts. The BER estimation also shows promising applications in other domains, serving as a way to describe the underlying structure of feature spaces intuitively but effectively.

Proceedings Article | 27 April 2020 Presentation

Challenge problems consideration for the 7 habits of highly effective ATRs (Conference Presentation)

Christopher Paulson, Lori Westerkamp, Edmund Zelnio

Proceedings Volume 11393, 113930V (2020) https://doi.org/10.1117/12.2561780

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Proceedings Article | 22 April 2020 Presentation + Paper

Auditory implicit learning in machines versus humans

Lei Qian, Kathleen Larson, Edmund Zelnio, Rik Warren, Bradley Bush, Lukas Garcia, Trisha Kulkarni, Susan Latiff

Proceedings Volume 11423, 114230Q (2020) https://doi.org/10.1117/12.2559478

KEYWORDS: Machine learning, Analytical research, Feature extraction, Algorithm development

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Proceedings Article | 19 July 2019 Presentation + Paper

Open set SAR target classification

Edmund Zelnio, Anne Pavy

Proceedings Volume 10987, 109870J (2019) https://doi.org/10.1117/12.2523435

KEYWORDS: Synthetic aperture radar, Library classification systems, Target recognition, Algorithm development, Detection and tracking algorithms, Neural networks, Calibration, Sensors, Matrices, Object recognition

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Proceedings Article | 14 May 2019 Presentation + Paper

Articulation study for SAR ATR baseline algorithm

Christopher Paulson, Adam Nolan, Steve Goley, Stephen Nehrbass, Edmund Zelnio

Proceedings Volume 10987, 109870L (2019) https://doi.org/10.1117/12.2523577

KEYWORDS: Detection and tracking algorithms, Data modeling, Synthetic aperture radar, Automatic target recognition, Sensors, Image processing, Algorithm development, Image resolution, Target recognition, Databases

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Proceedings Article | 14 May 2019 Paper

Multi-sensor synthetic data generation for performance characterization

Christopher Paulson, Adam Nolan, Lori Westerkamp, Edmund Zelnio

Proceedings Volume 10987, 1098707 (2019) https://doi.org/10.1117/12.2523579

KEYWORDS: Sensors, Electro optical modeling, Data modeling, Detection and tracking algorithms, Performance modeling, Synthetic aperture radar, Automatic target recognition, Algorithm development, Target recognition, Data fusion

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Proceedings Article | 14 May 2019 Presentation + Paper

Characterization of CNN classifier performance with respect to variation in optical contrast, using synthetic electro-optical data

Christopher Menart, Colin Leong, Olga Mendoza-Schrock, Edmund Zelnio

Proceedings Volume 10988, 109880N (2019) https://doi.org/10.1117/12.2519494

KEYWORDS: Data modeling, RGB color model, Environmental sensing, Electro optics, Electro optical modeling, Sensors, Image enhancement, Image quality, Image classification, Neural networks

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Proceedings Article | 14 May 2019 Presentation + Paper

A SAR dataset for ATR development: the Synthetic and Measured Paired Labeled Experiment (SAMPLE)

Benjamin Lewis, Theresa Scarnati, Elizabeth Sudkamp, John Nehrbass, Stephen Rosencrantz, Edmund Zelnio

Proceedings Volume 10987, 109870H (2019) https://doi.org/10.1117/12.2523460

KEYWORDS: Synthetic aperture radar, Data modeling, Radar, Automatic target recognition, Sensors, Detection and tracking algorithms, Algorithm development

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Proceedings Article | 14 May 2019 Presentation

Hybrid neural net template-based ATR (Conference Presentation)

Edmund Zelnio, Theresa Scarnati, Benjamin Lewis

Proceedings Volume 10987, 109870M (2019) https://doi.org/10.1117/12.2523436

KEYWORDS: Neural networks

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Proceedings Article | 7 June 2018 Presentation

Using synthetic SAR data to analyze ATR performance under various conditions (Conference Presentation)

Christopher Paulson, Adam Nolan, Edmund Zelnio

Proceedings Volume 10647, 1064706 (2018) https://doi.org/10.1117/12.2315267

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Proceedings Article | 14 May 2018 Presentation

Synthetic RF data for advanced machine learning algorithms development (Conference Presentation)

Uttam Kumar Majumder, John Nehrbass, Eric Branch, Edmund Zelnio

Proceedings Volume 10647, 1064705 (2018) https://doi.org/10.1117/12.2305460

KEYWORDS: Machine learning, Algorithm development

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Proceedings Article | 9 May 2018 Paper

Deep learning model-based algorithm for SAR ATR

Robert Friedlander, Michael Levy, Elizabeth Sudkamp, Edmund Zelnio

Proceedings Volume 10647, 106470B (2018) https://doi.org/10.1117/12.2315265

KEYWORDS: Synthetic aperture radar, Automatic target recognition, Neural networks, Data modeling, Model-based design, Convolutional neural networks, Image processing, Target recognition, Image classification, Linear filtering

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Proceedings Article | 27 April 2018 Presentation + Paper

Blending synthetic and measured data using transfer learning for synthetic aperture radar (SAR) target classification

Julia Arnold, Linda Moore, Edmund Zelnio

Proceedings Volume 10647, 106470A (2018) https://doi.org/10.1117/12.2304568

KEYWORDS: Synthetic aperture radar, Target recognition, Image classification, Network architectures, Convolutional neural networks

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Proceedings Article | 27 April 2018 Paper

"AFacet": a geometry based format and visualizer to support SAR and multisensor signature generation

Stephen Rosencrantz, John Nehrbass, Ed Zelnio, Beth Sudkamp

Proceedings Volume 10647, 1064702 (2018) https://doi.org/10.1117/12.2304460

KEYWORDS: Reverse modeling, Synthetic aperture radar, Binary data, Data modeling, Databases, 3D modeling, Computer programming, Computer programming languages, Visualization, Infrared signatures

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Proceedings Article | 27 April 2018 Presentation + Paper

Using deep learning for SAR image optimization

Peter John-Baptiste, Edmund Zelnio, Graeme Smith

Proceedings Volume 10647, 106470D (2018) https://doi.org/10.1117/12.2305860

KEYWORDS: Synthetic aperture radar, Neural networks, Databases, Image processing, Optimization (mathematics), Detection and tracking algorithms, Visualization, Convolutional neural networks, Target acquisition

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Proceedings Article | 27 April 2018 Presentation + Paper

Development of CNNs for feature extraction

Nicole Eikmeier, Rachel Westerkamp, Ed Zelnio

Proceedings Volume 10647, 106470C (2018) https://doi.org/10.1117/12.2305394

KEYWORDS: Neural networks, Synthetic aperture radar, Feature extraction, Convolution, Network architectures, Machine learning, Statistical analysis, Convolutional neural networks, Analytical research

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Proceedings Article | 3 May 2017 Paper

Using phase for radar scatterer classification

Linda Moore, Brian Rigling, Robert Penno, Edmund Zelnio

Proceedings Volume 10201, 102010J (2017) https://doi.org/10.1117/12.2267832

KEYWORDS: Optical spheres, Signal to noise ratio, Scattering, Synthetic aperture radar, Detection and tracking algorithms, Electromagnetic scattering, Sensors, Radar, Automatic target recognition, Feature extraction, Error analysis

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Proceedings Article | 28 April 2017 Presentation + Paper

Exploiting the sparsity of edge information in synthetic aperture radar imagery for speckle reduction

Theresa Scarnati, Edmund Zelnio, Christopher Paulson

Proceedings Volume 10201, 102010C (2017) https://doi.org/10.1117/12.2267790

KEYWORDS: Synthetic aperture radar, Speckle, Image acquisition, Denoising, Image filtering, Statistical analysis, Image enhancement, Statistical modeling, Visualization, Target recognition

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Proceedings Article | 14 May 2016 Paper

Kronecker STAP and SAR GMTI

Kristjan Greenewald, Edmund Zelnio, Alfred Hero

Proceedings Volume 9843, 98430E (2016) https://doi.org/10.1117/12.2223896

KEYWORDS: Target detection, Synthetic aperture radar, Image resolution, Detection and tracking algorithms, Radar, Antennas, Doppler effect, Image enhancement, Data modeling, Spatial resolution

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Proceedings Article | 20 May 2015 Paper

Exploring EO vehicle recognition performance using manifolds as a function of lighting condition variability

Olga Mendoza-Schrock, Mateen Rizki, Edmund Zelnio, Vincent Velten, Frederick Garber, Michael Raymer, John Gallagher

Proceedings Volume 9464, 94640I (2015) https://doi.org/10.1117/12.2178408

KEYWORDS: Light sources and illumination, Diffusion, Electro optics, Target recognition, Intelligence systems, Cameras, Analytical research, Surveillance, Reconnaissance, Image classification

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Proceedings Article | 13 May 2015 Paper

Asymptotic modeling of synthetic aperture ladar sensor phenomenology

Robert Neuroth, Brian Rigling, Edmund Zelnio, Edward Watson, Vincent Velten, Todd Rovito

Proceedings Volume 9475, 94750D (2015) https://doi.org/10.1117/12.2178268

KEYWORDS: Synthetic aperture radar, Electro optical modeling, LIDAR, Image resolution, Sensors, Scattering, Automatic target recognition, Computer simulations, Geometrical optics, Image processing

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Proceedings Article | 20 June 2014 Paper

A numerical study of sensory-guided multiple views for improved object identification

B. Blakeslee, E. Zelnio, D. Koditschek

Proceedings Volume 9091, 909116 (2014) https://doi.org/10.1117/12.2050655

KEYWORDS: Light sources and illumination, Matrices, Sensors, Control systems, Cameras, Feature extraction, Performance modeling, Edge detection, Device simulation, Binary data

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Proceedings Article | 13 June 2014 Paper

Recent improvements to the Raider Tracer scattering prediction tool

Brian Rigling, Austin Mackey, Edward Friel, John Nehrbass, Edmund Zelnio

Proceedings Volume 9093, 90930J (2014) https://doi.org/10.1117/12.2058769

KEYWORDS: Visualization, Visual process modeling, Scattering, Receivers, Optical spheres, Electromagnetic scattering, Radar, Algorithm development, MATLAB, Ray tracing

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Proceedings Article | 3 June 2013 Paper

Adaptive resource allocation for synthetic aperture radars under resource constraints

Gregory Newstadt, Edmund Zelnio, Alfred Hero

Proceedings Volume 8746, 87460F (2013) https://doi.org/10.1117/12.2020649

KEYWORDS: Synthetic aperture radar, Target detection, Antennas, Detection and tracking algorithms, Radar, Interferometry, Computing systems, Phase interferometry, Data modeling, Phase measurement

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Proceedings Article | 15 May 2012 Paper

A synopsis of challenge problems

Brandy Gorham, Edmund Zelnio, LeRoy Gorham, Frederick Garber

Proceedings Volume 8394, 83940L (2012) https://doi.org/10.1117/12.925073

KEYWORDS: Synthetic aperture radar, Sensors, Algorithm development, Target detection, Target recognition, Detection and tracking algorithms, 3D image processing, Radar, Environmental sensing, Polarization

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Proceedings Article | 7 May 2012 Paper

A generalizable hierarchical Bayesian model for persistent SAR change detection

Gregory Newstadt, Edmund Zelnio, Alfred Hero

Proceedings Volume 8394, 83940K (2012) https://doi.org/10.1117/12.925072

KEYWORDS: Synthetic aperture radar, Antennas, Detection and tracking algorithms, Target detection, Speckle, Radar, Calibration, Systems modeling, Performance modeling, Motion models

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Proceedings Article | 7 May 2012 Paper

Using glint to perform geometric signature prediction and pose estimation

Christopher Paulson, Edmund Zelnio, LeRoy Gorham, Dapeng Wu

Proceedings Volume 8394, 83940R (2012) https://doi.org/10.1117/12.919523

KEYWORDS: Radar, Synthetic aperture radar, Associative arrays, Scattering, Detection and tracking algorithms, Error analysis, Data modeling, Image segmentation, Continuous wavelet transforms, Radar signal processing

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Proceedings Article | 20 May 2011 Paper

Persistent SAR change detection with posterior models

Gregory Newstadt, Edmund Zelnio, Alfred Hero

Proceedings Volume 8051, 80510R (2011) https://doi.org/10.1117/12.888956

KEYWORDS: Synthetic aperture radar, Lithium, Antennas, Speckle, Target detection, Lawrencium, Systems modeling, Statistical analysis, Radar, Error analysis

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Proceedings Article | 5 May 2011 Paper

Derived operating conditions for classifier performance understanding

Joshua Blackburn, Timothy Ross, Adam Nolan, John Mossing, John Sherwood, David Pikas, Edmund Zelnio

Proceedings Volume 8051, 805111 (2011) https://doi.org/10.1117/12.886515

KEYWORDS: Image quality, Sensors, Performance modeling, Image segmentation, Environmental sensing, Radar, Target detection, Image sensors, Image compression, Detection and tracking algorithms

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Proceedings Article | 19 April 2010 Paper

Detection/tracking of moving targets with synthetic aperture radars

Gregory Newstadt, Edmund Zelnio, Leroy Gorham, Alfred Hero

Proceedings Volume 7699, 76990I (2010) https://doi.org/10.1117/12.850345

KEYWORDS: Target detection, Detection and tracking algorithms, Synthetic aperture radar, Particle filters, Filtering (signal processing), Roads, Data modeling, Radar, Motion models, Global Positioning System

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Proceedings Article | 29 April 2009 Paper

A challenge problem for SAR-based GMTI in urban environments

Steven Scarborough, Curtis Casteel, LeRoy Gorham, Michael Minardi, Uttam Majumder, Matthew Judge, Edmund Zelnio, Michael Bryant, Howard Nichols, Douglas Page

Proceedings Volume 7337, 73370G (2009) https://doi.org/10.1117/12.823461

KEYWORDS: Global Positioning System, Synthetic aperture radar, Doppler effect, X band, Algorithm development, Target detection, Sensors, Data centers, Detection and tracking algorithms, Roads

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Proceedings Article | 7 May 2007 Paper

A comparison between imaging radar and medical imaging polar format algorithm implementations

LeRoy Gorham, Brian Rigling, Edmund Zelnio

Proceedings Volume 6568, 65680K (2007) https://doi.org/10.1117/12.731454

KEYWORDS: Synthetic aperture radar, Medical imaging, Computed tomography, Radar, Fourier transforms, Reconstruction algorithms, Image acquisition, Image quality, Tomography, Image resolution

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Proceedings Article | 7 May 2007 Paper

Three-dimensional point spread function characterization of a radially displaced scatterer

Uttam Majumder, Michael Temple, Michael Minardi, Edmund Zelnio

Proceedings Volume 6568, 656803 (2007) https://doi.org/10.1117/12.719357

KEYWORDS: Point spread functions, 3D acquisition, Radar, Target recognition, Synthetic aperture radar, Automatic target recognition, Image processing, 3D image processing, Image acquisition, Scattering

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Proceedings Article | 7 May 2007 Paper

SAR data exploitation: computational technology enabling SAR ATR algorithm development

Uttam Majumder, Curtis Casteel, Peter Buxa, Michael Minardi, Edmund Zelnio, John Nehrbass

Proceedings Volume 6568, 65680L (2007) https://doi.org/10.1117/12.723224

KEYWORDS: Synthetic aperture radar, Field programmable gate arrays, Algorithm development, Data processing, Image processing, Automatic target recognition, Computing systems, Signal processing, X band, Logic

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Proceedings Article | 17 May 2006 Paper

Comparison of SAR based GMTI and standard GMTI in a dense target environment

M. Minardi, E. Zelnio

Proceedings Volume 6237, 62370X (2006) https://doi.org/10.1117/12.674030

KEYWORDS: Synthetic aperture radar, Sensors, Target detection, Principal component analysis, 3D acquisition, Environmental sensing, Point spread functions, Radar, Image processing, Image acquisition

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Proceedings Article | 17 May 2006 Paper

A compact, low-cost, wide-angle radar test bed

John Gorman, Uttam Majumder, John Reed, Ronald Dilsavor, Michael Minardi, Edmund Zelnio

Proceedings Volume 6237, 62370E (2006) https://doi.org/10.1117/12.666265

KEYWORDS: Radar, Signal to noise ratio, Oscillators, Synthetic aperture radar, Receivers, X band, Doppler effect, Algorithm development, Antennas, Modulation

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Proceedings Article | 26 January 2006 Paper

Virtual confocal microscopy

Philip Hanna, Brian Rigling, Edmund Zelnio

Proceedings Volume 6056, 605607 (2006) https://doi.org/10.1117/12.650778

KEYWORDS: 3D acquisition, Confocal microscopy, Sensors, 3D image processing, Edge detection, Detection and tracking algorithms, Target detection, Clouds, Electro optics, Reconstruction algorithms

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Proceedings Article | 19 May 2005 Paper

Ground moving target detection and tracking based on generalized SAR processing and change detection

M. Minardi, L. Gorham, E. Zelnio

Proceedings Volume 5808, (2005) https://doi.org/10.1117/12.609893

KEYWORDS: Synthetic aperture radar, Target detection, Sensors, Principal component analysis, Image processing, Radar, 3D acquisition, Image acquisition, Point spread functions, Detection and tracking algorithms

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Proceedings Article | 19 May 2005 Paper

Detection system performance metrics with scene content dependencies

Timothy Ross, William Pierson, Edmund Zelnio, Kevin Priddy

Proceedings Volume 5808, (2005) https://doi.org/10.1117/12.609758

KEYWORDS: Probability theory, Target detection, Palladium, Sensors, Single crystal X-ray diffraction, Stars, Standards development, Monte Carlo methods, Detector development, Tissues

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Proceedings Article | 19 May 2005 Paper

A demonstration of the confuser and likelihood modeling benefits for target detection in SAR imagery

Edmund Zelnio, Timothy Ross, Michael Bryant

Proceedings Volume 5808, (2005) https://doi.org/10.1117/12.609896

KEYWORDS: Data modeling, Automatic target recognition, Curium, Target detection, Systems modeling, Sensors, Palladium, Synthetic aperture radar, Performance modeling, Tin

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Proceedings Article | 24 August 2000 Paper

SAR wavefront reconstruction using motion-compensated phase history (polar format) data and DPCA-based GMTI

Mehrdad Soumekh, Steven Worrell, Edmund Zelnio, Brett Keaffaber

Proceedings Volume 4053, (2000) https://doi.org/10.1117/12.396384

KEYWORDS: Synthetic aperture radar, Image processing, Wavefront reconstruction, Signal processing, Reconstruction algorithms, Databases, Detection and tracking algorithms, Digital filtering, Radar, Data conversion

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Proceedings Article | 13 August 1999 Paper

Robust semiparametric method for feature extraction and SAR image formation of targets consisting of trihedrals and dihedrals

Jian Li, Renbiao Wu, Zhaoqiang Bi, Peter Stoica, Edmund Zelnio

Proceedings Volume 3721, (1999) https://doi.org/10.1117/12.357627

KEYWORDS: Synthetic aperture radar, Data modeling, Feature extraction, Image acquisition, Detection and tracking algorithms, Reflectors, Error analysis, Signal to noise ratio, Image resolution, Computer simulations

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Proceedings Article | 28 July 1997 Paper

Extensibility and other model-based ATR evaluation concepts

Timothy Ross, Lori Westerkamp, Edmund Zelnio, Thomas Burns

Proceedings Volume 3070, (1997) https://doi.org/10.1117/12.281559

KEYWORDS: Data modeling, Automatic target recognition, Performance modeling, Systems modeling, Model-based design, Synthetic aperture radar, Sensors, Radar, Detection and tracking algorithms, Space operations

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Proceedings Article | 28 July 1997 Paper

Characterization of ATR systems

Edmund Zelnio, Frederick Garber, Lori Westerkamp, Steven Worrell, John Westerkamp, Mary Jarratt, Catherine Deardorf, Patricia Ryan

Proceedings Volume 3070, (1997) https://doi.org/10.1117/12.281560

KEYWORDS: Automatic target recognition, Sensors, Data modeling, Model-based design, Knowledge acquisition, Picosecond phenomena, Feature extraction, Target acquisition, Statistical modeling, Target recognition

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Proceedings Article | 28 July 1997 Paper

Simple estimates of ATR performance and initial comparisons for a small data set

Frederick Garber, Edmund Zelnio

Proceedings Volume 3070, (1997) https://doi.org/10.1117/12.281552

KEYWORDS: Sensors, Scattering, Signal to noise ratio, Radar, Automatic target recognition, Error analysis, Darmstadtium, Binary data, Iron, Classification systems

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Proceedings Article | 14 June 1996 Paper

Characterization of ATR performance evaluation

Edmund Zelnio, Frederick Garber

Proceedings Volume 2755, (1996) https://doi.org/10.1117/12.243149

KEYWORDS: Automatic target recognition, Sensors, Scattering, Radar, Target recognition, Signal to noise ratio, Systems modeling, Information theory, Backscatter, Multiple scattering

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Proceedings Article | 5 July 1995 Paper

Geometrical formulation of radar signal complexity and target recognition performance capabilities

Frederick Garber, Edmund Zelnio

Proceedings Volume 2484, (1995) https://doi.org/10.1117/12.213054

KEYWORDS: Target recognition, Backscatter, Darmstadtium, Signal to noise ratio, Optical spheres, Radar, Information operations, Automatic target recognition, X band, Interference (communication)

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Proceedings Article | 9 June 1994 Paper

Target detection with synthetic aperture radar and coherent subtraction

Jian Li, Edmund Zelnio

Proceedings Volume 2230, (1994) https://doi.org/10.1117/12.177191

KEYWORDS: Sensors, Target detection, Synthetic aperture radar, Sensor performance, Radar, Detection and tracking algorithms, Signal detection, Algorithm development, Statistical analysis, Polarimetry

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Proceedings Article | 1 February 1992 Paper

ATR paradigm comparison with emphasis on model-based vision

Edmund Zelnio

Proceedings Volume 1609, (1992) https://doi.org/10.1117/12.57111

KEYWORDS: Visual process modeling, Automatic target recognition, 3D modeling, Sensors, Data modeling, Synthetic aperture radar, Model-based design, LIDAR, 3D image processing, 3D acquisition

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Proceedings Article | 1 November 1991 Paper

The importance of sensor models to model-based vision applications

Edmund Zelnio

Proceedings Volume 10307, 103070B (1991) https://doi.org/10.1117/12.2283652

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Showing 5 of 60 publications

Proceedings Volume Editor (28)

SPIE Conference Volume | 21 June 2023

Algorithms for Synthetic Aperture Radar Imagery XXX

SPIE Conference Volume | 3 June 2022

Algorithms for Synthetic Aperture Radar Imagery XXIX

SPIE Conference Volume | 30 April 2021

Algorithms for Synthetic Aperture Radar Imagery XXVIII

SPIE Conference Volume | 10 June 2020

Algorithms for Synthetic Aperture Radar Imagery XXVII

SPIE Conference Volume | 26 July 2019

Algorithms for Synthetic Aperture Radar Imagery XXVI

Showing 5 of 28 publications

Conference Committee Involvement (51)

Algorithms for Synthetic Aperture Radar Imagery XXXI

23 April 2024 | National Harbor, Maryland, United States

Automatic Target Recognition XXXIV

22 April 2024 | National Harbor, Maryland, United States

Algorithms for Synthetic Aperture Radar Imagery XXX

2 May 2023 | Orlando, Florida, United States

Automatic Target Recognition XXXIII

1 May 2023 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XXIX

6 April 2022 | Orlando, Florida, United States

Automatic Target Recognition XXXII

4 April 2022 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XXVIII

12 April 2021 | Online Only, Florida, United States

Automatic Target Recognition XXXI

12 April 2021 | Online Only, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XXVII

27 April 2020 | Online Only, California, United States

Automatic Target Recognition XXX

27 April 2020 | Online Only, California, United States

Algorithms for Synthetic Aperture Radar Imagery XXVI

18 April 2019 | Baltimore, MD, United States

Automatic Target Recognition XXIX

15 April 2019 | Baltimore, MD, United States

Algorithms for Synthetic Aperture Radar Imagery XXV

19 April 2018 | Orlando, FL, United States

Automatic Target Recognition XXVIII

16 April 2018 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery XXIV

13 April 2017 | Anaheim, CA, United States

Automatic Target Recognition XXVII

10 April 2017 | Anaheim, CA, United States

Algorithms for Synthetic Aperture Radar Imagery XXIII

21 April 2016 | Baltimore, MD, United States

Automatic Target Recognition XXVI

18 April 2016 | Baltimore, MD, United States

Algorithms for Synthetic Aperture Radar Imagery XXII

23 April 2015 | Baltimore, MD, United States

Automatic Target Recognition XXV

20 April 2015 | Baltimore, MD, United States

Algorithms for Synthetic Aperture Radar Imagery XXI

7 May 2014 | Baltimore, MD, United States

Automatic Target Recognition XXIV

5 May 2014 | Baltimore, MD, United States

Algorithms for Synthetic Aperture Radar Imagery XX

1 May 2013 | Baltimore, Maryland, United States

Automatic Target Recognition XXIII

29 April 2013 | Baltimore, Maryland, United States

Algorithms for Synthetic Aperture Radar Imagery XIX

25 April 2012 | Baltimore, Maryland, United States

Automatic Target Recognition XXII

23 April 2012 | Baltimore, Maryland, United States

Algorithms for Synthetic Aperture Radar Imagery XVIII

27 April 2011 | Orlando, Florida, United States

Automatic Target Recognition XXI

25 April 2011 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XVII

8 April 2010 | Orlando, Florida, United States

Automatic Target Recognition XX

5 April 2010 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XVI

16 April 2009 | Orlando, Florida, United States

Automatic Target Recognition XIX

13 April 2009 | Orlando, Florida, United States

Automatic Target Recognition XVIII

19 March 2008 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XV

17 March 2008 | Orlando, Florida, United States

Automatic Target Recognition XVII

10 April 2007 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XIV

10 April 2007 | Orlando, Florida, United States

Automatic Target Recognition XVI

18 April 2006 | Orlando (Kissimmee), Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XIII

17 April 2006 | Orlando (Kissimmee), Florida, United States

Automatic Target Recognition XV

29 March 2005 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XII

28 March 2005 | Orlando, Florida, United States

Automatic Target Recognition XIV

13 April 2004 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery XI

12 April 2004 | Orlando, Florida, United States

Automatic Target Recognition XIII

22 April 2003 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery X

21 April 2003 | Orlando, Florida, United States

Algorithms for Synthetic Aperture Radar Imagery IX

1 April 2002 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery VIII

16 April 2001 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery VII

24 April 2000 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery VI

5 April 1999 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery V

14 April 1998 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery IV

23 April 1997 | Orlando, FL, United States

Algorithms for Synthetic Aperture Radar Imagery III

10 April 1996 | Orlando, FL, United States

Showing 5 of 51 Conference Committees

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