S. Brumby

发表

Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery

Steven P. Brumby, Nate G. McDowell, Chandana Gangodagamage, 2013 .

A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery

C. Gangodagamage, J. Muss, S. Brumby, 2016 .

Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets

Chandana Gangodagamage, Baptiste Dafflon, Craig Ulrich, 2014, Water resources research.

Crop classification using temporal stacks of multispectral satellite imagery

Michael S. Warren, Daniela I. Moody, Steven P. Brumby, 2017, Defense + Security.

Classification of ROTSE Variable Stars using Machine Learning

James Theiler, Katherine E. McGowan, Przemyslaw Remigiusz Wozniak, 2001 .

Automatic feature extraction for panchromatic Mars Global Surveyor Mars Orbiter camera imagery

Steven P. Brumby, Catherine S. Plesko, Conway B. Leovy, 2002, SPIE Optics + Photonics.

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

Daniela I. Moody, Steven P. Brumby, Kary L. Myers, 2011, Optical Engineering + Applications.

EVOLVING AUTOMATED FEATURE EXTRACTION ALGORITHMS FOR PLANETARY SCIENCE.

Steven P. Brumby, C. S. Plesko, Erik Asphaug, 2003 .

LOCATING HISTORICAL FEATURES ON RECENT IMAGERY USING AN EVOLUTIONARY ALGORITHM

E. V. Eeckhout, S. Brumby, R. Hixson, 2006 .

Title : Genetic programming approach to extracting features from remotely sensed imagery

J. Theiler, S. Perkins, S. Brumby, 2001 .

A simple algorithm for estimation of source-to-detector distance in Compton imaging.

J. Sullivan, S. Brumby, M. Rawool-Sullivan, 2008, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

Numerical analysis of EPR spectra. 5. Simulation of spectra by fast Fourier transform

S. Brumby, 1980 .

Gamma-ray imaging with a Si/CsI(Tl) Compton detector.

J. Sullivan, S. Brumby, R. Kippen, 2006, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

Numerical analysis of EPR spectra 1. Two methods of calculating “reduced” spectra

S. Brumby, 1979 .

Implications of quaternionic dark matter

S. Brumby, G. C. Joshi, B. Hanlon, 1996, hep-th/9610210.

Effect of learned dictionary over-completeness on sparse representations

Brendt Wohlberg, Daniela I. Moody, Steven P. Brumby, 2012 .

Dynamic World, Near real-time global 10 m land use land cover mapping

Alexander M. Tait, Joseph C. Mazzariello, K. Schwehr, 2022, Scientific Data.

The effect of aromatic solvents on the absolute rate coefficients in the polymerization of methyl methacrylate at 25°C

C. Bamford, S. Brumby, 1967 .

Classification of ROTSE Variable Stars using Machine Learning

David S. Smith, G. Gisler, E. Rykoff, 2001 .

Molecular orbital study of radical complexation with relevance to radical polymerization in aromatic solvents

S. Brumby, 1989 .

ESR signals from natural gypsum single crystals: Implications for ESR dating

S. Brumby, J. Chappell, M. Kasuya, 1991 .

Experimental status of quaternionic quantum mechanics

S. Brumby, G. C. Joshi, Girish C. Joshi, 1996, quant-ph/9610009.

A Platform for Scalable Satellite and Geospatial Data Analysis

Michael S. Warren, Steven P. Brumby, Rick Chartrand, 2017 .

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

Daniela I. Moody, Steven P. Brumby, David A. Smith, 2014, Defense + Security Symposium.

Decoupling sparse coding of SIFT descriptors for large-scale visual recognition

James Theiler, Zhengping Ji, Garrett T. Kenyon, 2013, Defense, Security, and Sensing.

Development of invariant feature maps via a computational model of simple and complex cells

Wentao Huang, Zhengping Ji, Garrett T. Kenyon, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder

Wentao Huang, Zhengping Ji, Steven P. Brumby, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Combining multiple visual processing streams for locating and classifying objects in video

Garrett T. Kenyon, Steven P. Brumby, John S. George, 2012, 2012 IEEE Southwest Symposium on Image Analysis and Interpretation.

Combining multiple visual processing streams for lcoating and classifying objects

Garrett T. Kenyon, Steven P. Brumby, Michael Ham, 2012 .

Sparse classification of rf transients using chirplets and learned dictionaries

Daniela I. Moody, Steven P. Brumby, Kary L. Myers, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

EPR characterisation of the CrV intermediates in the CrVI/V oxidations of organic substrates and of relevance to Cr-induced cancers

P. A. Lay, S. Brumby, R. Codd, 1995 .

An EPR study of free radicals derived from 1,3-dioxolan-4-one and related compounds

S. Brumby, C. Chai, A. Beckwith, 1992 .

An EPR Spectroscopic Study of Chromium(V) Oxalato Complexes in Aqueous Solutions. Mechanism of the Chromium(VI) Oxidation of Oxalic Acid

P. A. Lay, S. Brumby, A. Levina, 1998 .

Numerical analysis of EPR spectra. 7. The simplex algorithm

S. Brumby, A. Beckwith, 1987 .

Evolving land cover classification algorithms for multispectral and multitemporal imagery

Neal R. Harvey, James Theiler, Simon J. Perkins, 2002, SPIE Optics + Photonics.

Numerical analysis of EPR spectra. 8. Relative concentrations

S. Brumby, A. Beckwith, 1987 .

An electron spin resonance investigation of free radicals with oxygen- and sulphur-containing substituents

S. Brumby, A. Beckwith, 1987 .

A novel application of the ESR method: dating of insular phosphorites and reef limestone

S. Brumby, H. Polach, A. Beckwith, 1992 .

Numerical analysis of EPR spectra. 3. Iterative least-squares analysis of significance plots

S. Brumby, 1980 .

The annealing kinetics of ESR signals due to paramagnetic centres in mollusc shell

S. Brumby, H. Yoshida, 1995 .

ESR dating of mollusc shell: Investigations with modern shell of four species

S. Brumby, H. Yoshida, 1994 .

Tocotrienols from palm oil: Electron spin resonance spectra of tocotrienoxyl radicals

S. Brumby, Y. Choo, A. Ong, 1990 .

Free‐radical polymerization of methyl methacrylate in the presence of aluminium chloride

C. Bamford, S. Brumby, 1970 .

Effect of Zinc Chloride on the Velocity Coefficients in the Polymerization of Methyl Methacrylate

S. Brumby, R. Wayne, C. H. BAMFORD, 1966, Nature.

The assessment of errors in past radiation doses extrapolated from ESR/TL dose-response data

S. Brumby, R. Grün, 1994 .

Studies of primary alkyl and aralkyl radicals using electron spin resonance spectroscopy and intermediate neglect of differential overlap calculations

S. Brumby, 1983 .

Regression analysis of ESR/TL dose-response data

S. Brumby, 1992 .

Analysis of multispectral imagery and modeling contaminant transport

John M. Irvine, Nancy A. David, Steven P. Brumby, 2002, Applied Imagery Pattern Recognition Workshop, 2002. Proceedings..

Model Cortical Association Fields Account for the Time Course and Dependence on Target Complexity of Human Contour Perception

Ilya Nemenman, Garrett T. Kenyon, Steven P. Brumby, 2011, PLoS Comput. Biol..

Interpreting individual classifications of hierarchical networks

Melanie Mitchell, Garrett T. Kenyon, Steven P. Brumby, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification

Maya Gokhale, Neal R. Harvey, James Theiler, 2003, Journal of Mathematical Imaging and Vision.

Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction

Neal R. Harvey, James Theiler, Simon Perkins, 2002, IEEE Trans. Geosci. Remote. Sens..

Global land use / land cover with Sentinel 2 and deep learning

Steven P. Brumby, Caitlin Kontgis, Krishna Karra, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

An investigation of the effect of sunlight on the ESR spectra of quartz centres: implications for dating

S. Brumby, H. Yoshida, 1994 .

Feature extraction from hyperspectral images compressed using the JPEG-2000 standard

Steven P. Brumby, Christopher M. Brislawn, Mihaela D. Pal, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

The RAPTOR experiment: a system for monitoring the optical sky in real time

W. T. Vestrand, P. Wozniak, M. Galassi, 2002, SPIE Astronomical Telescopes + Instrumentation.

Automated simultaneous multiple feature classification of MTI data

Neal R. Harvey, James Theiler, Mark Corrado Galassi, 2002, SPIE Defense + Commercial Sensing.

Feature extraction from multiple data sources using genetic programming

Neal R. Harvey, Nancy A. David, Simon J. Perkins, 2002, SPIE Defense + Commercial Sensing.

Evolving feature extraction algorithms for hyperspectral and fused imagery

Paul A. Pope, Amy E. Galbraith, Steven P. Brumby, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Evolutionary computation and post-wildfire land-cover mapping with multispectral imagery

Steven P. Brumby, Leslie A. Hansen, Steven W. Koch, 2002, Remote Sensing.

Support vector machines for broad-area feature classification in remotely sensed images

Simon J. Perkins, Neal R. Harvey, Steven P. Brumby, 2001, SPIE Defense + Commercial Sensing.

Image Feature Extraction: Genie vs Conventional Supervised Classification Techniques

Neal R. Harvey, James Theiler, Mark Corrado Galassi, 2001 .

GENIE: a hybrid genetic algorithm for feature classification in multispectral images

Neal R. Harvey, James Theiler, Simon J. Perkins, 2000, SPIE Optics + Photonics.

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day

Mark Johnson, Brendt Wohlberg, Michael S. Warren, 2015, 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

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

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2014 .

Learning sparse discriminative representations for land cover classification in the Arctic

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2012, Optics & Photonics - Optical Engineering + Applications.

Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2012, 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Temporal and spatial pattern of thermokarst lake area changes at Yukon Flats, Alaska

Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, 2014 .

The Importance of Natural Variability in Lake Areas on the Detection of Permafrost Degradation: A Case Study in the Yukon Flats, Alaska

Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, 2013 .

Global effects in quaternionic quantum field theory

S. Brumby, G. C. Joshi, 1996, hep-th/9610033.

Numerical analysis of EPR spectra. 4. Spectra of 1- and 2-methylnaphthalene anions

S. Brumby, 1980 .

Numerical analysis of EPR spectra. 2. The use of significance plots

S. Brumby, 1979 .

Observations on the suitability of the signal at g = 2.0040 for ESR dating of secondary carbonates

S. Brumby, J. Gao, Y. Chen, 1994 .

Numerical analysis of EPR spectra. 6. A new method of simulating spectra with alternating linewidths

S. Brumby, 1981 .

Searching for Optical Transients in Real‐Time: The RAPTOR Experiment

Mark Corrado Galassi, Przemyslaw Remigiusz Wozniak, W. T. Vestrand, 2003 .

Investigation of interactions between radicals and molecules using the austin model 1 molecular–orbital method. Part 1.—Carbon-centered radicals

S. Brumby, 1988 .

Genie Pro: robust image classification using shape, texture, and spectral information

Neal R. Harvey, Simon J. Perkins, Steven P. Brumby, 2005 .

Evolving forest fire burn severity classification algorithms for multispectral imagery

Neal R. Harvey, Simon J. Perkins, John J. Szymanski, 2001, SPIE Defense + Commercial Sensing.

Parallel evolution of image processing tools for multispectral imagery

Neal R. Harvey, James Theiler, Simon J. Perkins, 2000, SPIE Optics + Photonics.

Genetic algorithm for combining new and existing image processing tools for multispectral imagery

Neal R. Harvey, James Theiler, Simon J. Perkins, 2000, SPIE Defense + Commercial Sensing.

Finding Golf Courses: The Ultra High Tech Approach

Neal R. Harvey, James Theiler, Simon Perkins, 2000, EvoWorkshops.

Investigation of image feature extraction by a genetic algorithm

Melanie Mitchell, Simon J. Perkins, Neal R. Harvey, 1999, Optics + Photonics.

Evolving retrieval algorithms with a genetic programming scheme

Neal R. Harvey, Simon J. Perkins, John J. Szymanski, 1999, Optics & Photonics.

LOBSTER-ISS: an imaging x-ray all-sky monitor for the International Space Station

Andrew Lawrence, Keith A. Nugent, Keith Jahoda, 2002, SPIE Optics + Photonics.

Importance and vulnerability of the world’s water towers

T. Bolch, Y. Wada, D. Viviroli, 2019, Nature.

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, 2014, 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

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

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, 2013, Defense, Security, and Sensing.

Multimodal approach to feature extraction for image and signal learning problems

Neal R. Harvey, James Theiler, Nancy A. David, 2004, SPIE Optics + Photonics.

Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery

Amy E. Galbraith, Steven P. Brumby, Rick Chartrand, 2012, 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Visualizing classiﬁcation of natural video sequences using sparse, hierarchical models of cortex.

Garrett T. Kenyon, Steven P. Brumby, Luís M. A. Bettencourt, 2011 .

Building a living atlas of the Earth in the cloud

Michael S. Warren, Daniela I. Moody, Steven P. Brumby, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Simulations of ESR spectra with inclusion of modulation effects

S. Brumby, 1982 .

Global land use / land cover with Sentinel 2 and deep learning

Joseph C. Mazzariello, S. Brumby, C. Kontgis, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications

Desheng Liu, Susan L. Ustin, Steven P. Brumby, 2016, IEEE Geoscience and Remote Sensing Letters.