Dr. Daniela I. Moody Profile

Dr. Daniela I. Moody

VP of Artificial Intelligence at Arturo

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Publications (16)

SPIE Journal Paper | 8 June 2020

Optimizing deep learning model selection for angular feature extraction in satellite imagery

Poppy Immel, Meera Desai, Daniela Moody

JARS, Vol. 14, Issue 03, 032612, (June 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.032612

KEYWORDS: Feature extraction, Image filtering, Optimization (mathematics), Remote sensing, Binary data, Machine learning, Satellites, Process modeling, Model-based design, Performance modeling

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Proceedings Article | 14 May 2019 Paper

Optimizing deep learning model selection for angular feature extraction in satellite imagery

Poppy Immel, Meera Desai, Daniela Moody

Proceedings Volume 10986, 109861D (2019) https://doi.org/10.1117/12.2519373

KEYWORDS: Convolutional neural networks, Feature extraction, Optimization (mathematics), Binary data, Satellites, Image classification, Performance modeling, Satellite imaging, Remote sensing

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Proceedings Article | 8 June 2018 Paper

Satellite imagery analysis for automated global food security forecasting

Daniela Moody, Steven Brumby, Rick Chartrand, Ryan Keisler, Mark Mathis, Carly Beneke, David Nicholaeff, Samuel Skillman, Michael Warren, Justin Poehnelt

Proceedings Volume 10644, 1064429 (2018) https://doi.org/10.1117/12.2315960

KEYWORDS: Satellite imaging, Earth observing sensors, Satellites, Image analysis, Defense and security, Analytical research

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Proceedings Article | 5 May 2017 Paper

Crop classification using temporal stacks of multispectral satellite imagery

Daniela Moody, Steven Brumby, Rick Chartrand, Ryan Keisler, Nathan Longbotham, Carly Mertes, Samuel Skillman, Michael Warren

Proceedings Volume 10198, 101980G (2017) https://doi.org/10.1117/12.2262804

KEYWORDS: Spatial resolution, Data modeling, Satellite communications, Image classification, Satellites, Satellite imaging, Earth observing sensors, Landsat, Agriculture, Multispectral imaging, Sensors, Remote sensing, Clouds

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Proceedings Article | 18 June 2015 Paper

Change detection in Arctic satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries

Daniela Moody, Cathy Wilson, Joel Rowland, Garrett Altmann

Proceedings Volume 9494, 94940W (2015) https://doi.org/10.1117/12.2177590

KEYWORDS: Associative arrays, Satellites, Satellite imaging, Earth observing sensors, Spatial resolution, Vegetation, Image resolution, Feature extraction, Image classification, Climate change

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Proceedings Article | 21 May 2015 Paper

Adaptive sparse signal processing for discrimination of satellite-based radiofrequency (RF) recordings of lightning events

Daniela Moody, David Smith

Proceedings Volume 9501, 95010C (2015) https://doi.org/10.1117/12.2177584

KEYWORDS: Chemical species, Associative arrays, Satellites, Signal processing, Picosecond phenomena, Feature extraction, Databases, Receivers, Signal to noise ratio, Lithium

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SPIE Journal Paper | 9 December 2014 Open Access

Land cover classification in multispectral imagery using clustering of sparse approximations over learned feature dictionaries

Daniela Moody, Steven Brumby, Joel Rowland, Garrett Altmann

JARS, Vol. 8, Issue 01, 084793, (December 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.084793

KEYWORDS: Associative arrays, Image classification, Multispectral imaging, Spatial resolution, Satellites, Satellite imaging, Earth observing sensors, Vegetation, Image processing, Feature extraction

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SPIE Journal Paper | 17 November 2014 Open Access

Classification of satellite-based radio frequency transient recordings using sparse approximations over learned dictionaries

Daniela Moody, David Smith

JARS, Vol. 8, Issue 01, 084794, (November 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.084794

KEYWORDS: Associative arrays, Satellites, Principal component analysis, Databases, Signal processing, Image classification, Feature extraction, Visualization, Receivers, Chemical elements

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Proceedings Article | 13 June 2014 Paper

Automatic detection of pulsed radio frequency (RF) targets using sparse representations in undercomplete learned dictionaries

Daniela Moody, David Smith, Steven Brumby

Proceedings Volume 9090, 90900C (2014) https://doi.org/10.1117/12.2049845

KEYWORDS: Associative arrays, Signal to noise ratio, Target detection, Target recognition, Interference (communication), Chemical elements, Detection and tracking algorithms, Signal processing, Feature extraction, Stochastic processes

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Proceedings Article | 22 May 2014 Paper

Adaptive sparse signal processing of satellite-based radio frequency (RF) recordings of lightning events

Daniela Moody, David Smith

Proceedings Volume 9124, 91240E (2014) https://doi.org/10.1117/12.2049844

KEYWORDS: Associative arrays, Satellites, Principal component analysis, Signal processing, Databases, Feature extraction, Chemical elements, Receivers, Satellite communications, Analytical research

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Proceedings Article | 22 May 2014 Paper

Land cover classification in multispectral satellite imagery using sparse approximations on learned dictionaries

Daniela Moody, Steven Brumby, Joel Rowland, Garrett Altmann

Proceedings Volume 9124, 91240Y (2014) https://doi.org/10.1117/12.2049843

KEYWORDS: Associative arrays, Satellites, Spatial resolution, Image classification, Earth observing sensors, Satellite imaging, Vegetation, Multispectral imaging, Feature extraction, Soil science

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Proceedings Article | 29 May 2013 Paper

Adaptive sparse signal processing of on-orbit lightning data using learned dictionaries

Daniela Moody, David Smith, Timothy Hamlin, Tess Light, David Suszcynsky

Proceedings Volume 8750, 87500H (2013) https://doi.org/10.1117/12.2016160

KEYWORDS: Associative arrays, Satellites, Databases, Signal processing, Receivers, Feature extraction, Wavelets, Data centers, Machine learning

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Proceedings Article | 18 May 2013 Paper

Undercomplete learned dictionaries for land cover classification in multispectral imagery of Arctic landscapes using CoSA: clustering of sparse approximations

Daniela Moody, Steven Brumby, Joel Rowland, Chandana Gangodagamage

Proceedings Volume 8743, 87430B (2013) https://doi.org/10.1117/12.2016135

KEYWORDS: Associative arrays, Image classification, Satellites, Earth observing sensors, Spatial resolution, Satellite imaging, RGB color model, Vegetation, Multispectral imaging, Image resolution

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Proceedings Article | 19 October 2012 Paper

Learning sparse discriminative representations for land cover classification in the Arctic

Daniela Moody, Steven Brumby, Joel Rowland, Chandana Gangodagamage

Proceedings Volume 8514, 85140Q (2012) https://doi.org/10.1117/12.930182

KEYWORDS: Associative arrays, Spatial resolution, Satellites, Image classification, Satellite imaging, Vegetation, Earth observing sensors, Remote sensing, RGB color model, Detection and tracking algorithms

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Proceedings Article | 27 September 2011 Paper

Radio frequency (RF) transient classification using sparse representations over learned dictionaries

Daniela Moody, Steven Brumby, Kary Myers, Norma Pawley

Proceedings Volume 8138, 81381S (2011) https://doi.org/10.1117/12.898894

KEYWORDS: Associative arrays, Signal to noise ratio, Interference (communication), Chemical elements, Surveillance, Remote sensing, Detection and tracking algorithms, Evolutionary algorithms, Feature extraction

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Proceedings Article | 4 June 2011 Paper

Classification of transient signals using sparse representations over adaptive dictionaries

Daniela Moody, Steven Brumby, Kary Myers, Norma Pawley

Proceedings Volume 8058, 805804 (2011) https://doi.org/10.1117/12.883341

KEYWORDS: Associative arrays, Detection and tracking algorithms, Chemical species, Wavelets, Interference (communication), Image classification, Data modeling, Signal processing, Surveillance, Feature extraction

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Showing 5 of 16 publications

Conference Committee Involvement (10)

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX

2 May 2023 | Orlando, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII

5 April 2022 | Orlando, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII

12 April 2021 | Online Only, Florida, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVI

27 April 2020 | Online Only, California, United States

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV

16 April 2019 | Baltimore, MD, United States

Showing 5 of 10 Conference Committees

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