Finding Golf Courses: The Ultra High Tech Approach. - 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 (EvoWorkshops, 2000)

Analysis Of Multispectral Imagery And Modeling Contaminant Transport. - Naomi M. Becker; Steven P. Brumby; Nancy A. David; John M. Irvine (AIPR, 2002)

Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard. - Mihaela D. Pal; Christopher M. Brislawn; Steven P. Brumby (SSIAI, 2002)

Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction. - Neal R. Harvey; James Theiler; Steven P. Brumby; Simon Perkins; John J. Szymanski; Jeffrey J. Bloch; Reid B. Porter; Mark Galassi; A. Cody Young (IEEE Trans. Geosci. Remote. Sens., 2002)

Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification. - Reid B. Porter; Neal R. Harvey; Simon Perkins; James Theiler; Steven P. Brumby; Jeffrey J. Bloch; Maya B. Gokhale; John J. Szymanski (J. Math. Imaging Vis., 2003)

Large-scale functional models of visual cortex for remote sensing. - Steven P. Brumby; Garrett T. Kenyon; Will Landecker; Craig Rasmussen; Sriram Swaminarayan; Luís M. A. Bettencourt (AIPR, 2009)

Detection of facilities in satellite imagery using semi-supervized image classification and auxiliary contextual observables. - Neal R. Harvey; Christy Ruggiero; Norma H. Pawley; B. MacDonald; A. Oyer; Lee K. Balick; Steven P. Brumby (Visual Information Processing, 2009)

Sparse classification of rf transients using chirplets and learned dictionaries. - Daniela I. Moody; Steven P. Brumby; Kary L. Myers; Norma H. Pawley (ACSCC, 2011)

Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception. - 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 (PLoS Comput. Biol., 2011)

Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. - Amy E. Galbraith; Steven P. Brumby; Rick Chartrand (AIPR, 2012)

Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries. - Daniela I. Moody; Steven P. Brumby; Joel C. Rowland; Chandana Gangodagamage (AIPR, 2012)

Development of invariant feature maps via a computational model of simple and complex cells. - Wentao Huang; Zhengping Ji; Steven P. Brumby; Garrett T. Kenyon; Luís M. A. Bettencourt (IJCNN, 2012)

Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder. - Zhengping Ji; Wentao Huang; Steven P. Brumby (IJCNN, 2012)

Combining multiple visual processing streams for locating and classifying objects in video. - Dylan M. Paiton; Steven P. Brumby; Garrett T. Kenyon; Gerd J. Kunde; Kris D. Peterson; Mohammed I. Ham; Peter F. Schultz; John S. George (SSIAI, 2012)

Interpreting individual classifications of hierarchical networks. - Will Landecker; Michael D. Thomure; Luís M. A. Bettencourt; Melanie Mitchell; Garrett T. Kenyon; Steven P. Brumby (CIDM, 2013)

Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication. - Sheng Y. Lundquist; Dylan M. Paiton; Brennan M. Nowers; Peter F. Schultz; Steven P. Brumby; Anders M. Jorgensen; Garrett T. Kenyon (IJCNN, 2013)

Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries. - Daniela I. Moody; Steven P. Brumby; Joel C. Rowland; Garrett L. Altmann; Amy E. Larson (AIPR, 2014)

Demo: A remote sensor placement device for scalable and precise deployment of sensor networks. - David Dennis Lee Mascarenas; Logan Ott; Aaron Curtis; Sara Brambilla; Amy C. Larson; Steven P. Brumby; Charles R. Farrar (MobiSys, 2014)

Video: Remote sensor placement. - David Dennis Lee Mascarenas; Logan Ott; Aaron Curtis; Sara Brambilla; Amy C. Larson; Steven P. Brumby; Charles R. Farrar (MobiSys, 2014)

Automated variability selection in time-domain imaging surveys using sparse representations with learned dictionaries. - Daniela I. Moody; Przemek R. Wozniak; Steven P. Brumby (AIPR, 2015)

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. - Michael S. Warren; Steven P. Brumby; Samuel W. Skillman; Tim Kelton; Brendt Wohlberg; Mark Mathis; Rick Chartrand; Ryan Keisler; Mark Johnson (AIPR, 2015)

Building a living atlas of the Earth in the cloud. - Daniela I. Moody; Michael S. Warren; Samuel W. Skillman; Rick Chartrand; Steven P. Brumby; Ryan Keisler; Tim Kelton; Mark Mathis (ACSSC, 2016)

Land cover classification in fused multisensor multispectral satellite imagery. - Daniela I. Moody; Dana E. Bauer; Steven P. Brumby; Eric D. Chisolm; Michael S. Warren; Samuel W. Skillman; Ryan Keisler (SSIAI, 2016)

Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. - Chandana Gangodagamage; Efi Foufoula-Georgiou; Steven P. Brumby; Rick Chartrand; Alexander Koltunov; Desheng Liu; Michael Cai; Susan L. Ustin (IEEE Geosci. Remote. Sens. Lett., 2016)

Global land use / land cover with Sentinel 2 and deep learning. - Krishna Karra; Caitlin Kontgis; Zoe Statman-Weil; Joseph C. Mazzariello; Mark Mathis; Steven P. Brumby (IGARSS, 2021)