Steven P. Brumby

Publication Activity (10 Years)

Years Active: 2000-2021
Publications (10 Years): 4

Top Topics

Sparse Representation

Change Detection

Top Venues

Publications

Krishna Karra, Caitlin Kontgis, Zoe Statman-Weil, Joseph C. Mazzariello, Mark Mathis, Steven P. Brumby
Global land use / land cover with Sentinel 2 and deep learning. IGARSS (2021)
Daniela I. Moody, Dana E. Bauer, Steven P. Brumby, Eric D. Chisolm, Michael S. Warren, Samuel W. Skillman, Ryan Keisler
Land cover classification in fused multisensor multispectral satellite imagery. SSIAI (2016)
Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis
Building a living atlas of the Earth in the cloud. ACSSC (2016)
Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin
Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. IEEE Geosci. Remote. Sens. Lett. 13 (4) (2016)
Daniela I. Moody, Przemek R. Wozniak, Steven P. Brumby
Automated variability selection in time-domain imaging surveys using sparse representations with learned dictionaries. AIPR (2015)
Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson
Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. AIPR (2015)
Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, Amy E. Larson
Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries. AIPR (2014)
David Dennis Lee Mascarenas, Logan Ott, Aaron Curtis, Sara Brambilla, Amy C. Larson, Steven P. Brumby, Charles R. Farrar
Video: Remote sensor placement. MobiSys (2014)
David Dennis Lee Mascarenas, Logan Ott, Aaron Curtis, Sara Brambilla, Amy C. Larson, Steven P. Brumby, Charles R. Farrar
Demo: A remote sensor placement device for scalable and precise deployment of sensor networks. MobiSys (2014)
Will Landecker, Michael D. Thomure, Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon, Steven P. Brumby
Interpreting individual classifications of hierarchical networks. CIDM (2013)
Sheng Y. Lundquist, Dylan M. Paiton, B. M. Nowers, Peter F. Schultz, Steven P. Brumby, A. M. Jorgensen, Garrett T. Kenyon
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication. IJCNN (2013)
Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Chandana Gangodagamage
Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries. AIPR (2012)
Dylan M. Paiton, Steven P. Brumby, Garrett T. Kenyon, Gerd J. Kunde, Kris D. Peterson, Mohammed I. Ham, Peter F. Schultz, John S. George
Combining multiple visual processing streams for locating and classifying objects in video. SSIAI (2012)
Amy E. Galbraith, Steven P. Brumby, Rick Chartrand
Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. AIPR (2012)
Zhengping Ji, Wentao Huang, Steven P. Brumby
Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder. IJCNN (2012)
Wentao Huang, Zhengping Ji, Steven P. Brumby, Garrett T. Kenyon, Luís M. A. Bettencourt
Development of invariant feature maps via a computational model of simple and complex cells. IJCNN (2012)
Vadas Gintautas, Michael I. Ham, Benjamin Kunsberg, Shawn Barr, Steven P. Brumby, Craig Rasmussen, John S. George, Ilya Nemenman, Luís M. A. Bettencourt, Garrett T. Kenyon
Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception. PLoS Comput. Biol. 7 (10) (2011)
Daniela I. Moody, Steven P. Brumby, Kary L. Myers, Norma H. Pawley
Sparse classification of rf transients using chirplets and learned dictionaries. ACSCC (2011)
Steven P. Brumby, Garrett T. Kenyon, Will Landecker, Craig Rasmussen, Sriram Swaminarayan, Luís M. A. Bettencourt
Large-scale functional models of visual cortex for remote sensing. AIPR (2009)
Neal R. Harvey, C. Ruggiero, Norma H. Pawley, B. MacDonald, A. Oyer, Lee K. Balick, Steven P. Brumby
Detection of facilities in satellite imagery using semi-supervized image classification and auxiliary contextual observables. Visual Information Processing (2009)
Reid B. Porter, Neal R. Harvey, Simon Perkins, James Theiler, Steven P. Brumby, Jeffrey J. Bloch, Maya B. Gokhale, John J. Szymanski
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification. J. Math. Imaging Vis. 19 (2) (2003)
Mihaela D. Pal, Christopher M. Brislawn, Steven P. Brumby
Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard. SSIAI (2002)
Neal R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young
Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. IEEE Trans. Geosci. Remote. Sens. 40 (2) (2002)
Naomi M. Becker, Steven P. Brumby, Nancy A. David, John M. Irvine
Analysis Of Multispectral Imagery And Modeling Contaminant Transport. AIPR (2002)
Neal R. Harvey, Simon Perkins, Steven P. Brumby, James Theiler, Reid B. Porter, A. Cody Young, Anil K. Varghese, John J. Szymanski, Jeffrey J. Bloch
Finding Golf Courses: The Ultra High Tech Approach. EvoWorkshops (2000)