Faculty

Institution

Unit

Venue

Curt Davis

F Robert and Patricia Naka Professor

University of Missouri

Affiliations

College of Engineering

Electrical Engineering and Computer Science

Curt Davis is currently serving as a College Of Engineering F Robert and Patricia Naka Professor at University of Missouri.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Curt Davis

University of Missouri

F Robert and Patricia Naka Professor

You can click a keyword to filter the displayed items

remote sensing earth science planetary sciences earth observation climate change cryosphere environmental science computer vision earth observation data image analysis glaciers paleoclimatology climatic change machine learning deep learning geography cold region science atmospheric science geophysical research glacial process pattern recognition high-resolution satellite imagery greenland ice sheet quaternary science atmospheric research satellite imaging object detection satellite radar altimetry fuzzy logic information fusion ocean sciences change detection optical remote sensing arctic engineering urban geography urban areas fuzzy systems computational imaging geodesy geospatial mapping image retrieval radar image processing satellite meteorology data fusion orogeny high elevation microwave remote sensing high-resolution multispectral data satellite altimetry elevation changes geographical information science earth system science building engineering image classification data classification land cover vector processing data extraction feature extraction image registration terrestrial sensing geophysical signal processing antarctic ice sheet elevation change automated change detection detected changes machine-assisted visual analytics decadal mass balance cdma cellular systems spatial information satellite imagery climate modelling classification method image databases benchmark datasets object categorization

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Dnn Object Detection in High-Resolution Multispectral Satellite Imagery With Varied Bit-Depth and Spectral Bands. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

Trevor M. BajkowskiCurt H. DavisGrant J. Scott

satellite signal processingsatellite imagingvaried bit-depthearth observationearth scienceremote sensingdigital image processingspectral bandsdnn object detectionmultispectral imagingdeep learning

Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. Sensors (2023)

J. Alex HurtIlinca PopescuCurt H. DavisGrant J. Scott

broad-area high-resolution imageryoverhead imagerytechnologycomputer visionremote sensingimage analysisanthropogenic object localizationdeep learning

Detection of Camouflage-Covered Military Objects Using High-Resolution Multi-Spectral Satellite Imagery. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023)

Alan B. CannadayCurt H. DavisTrevor M. Bajkowski

pattern recognitionsatellite imagingremote sensingcamouflage-covered military objectsimage analysisplanetary sciencesobject detectionoptical remote sensing

Hybrid Differential Morphological Profile Enabled Faster R-CNN for Object Detection in High-Resolution Remote Sensing Imagery. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023)

J. Alex HurtCurt H. DavisGrant J. Scott

deep learningcomputer sciencemachine learningconvolutional neural networksremote sensingimage analysisobject detectioncomputer vision

Overhead Object Detection With Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and Dmp-Extracted Shape Features. (2023)

J. Alex HurtTrevor M. BajkowskiCurt H. DavisGrant J. Scott

satellite imagingoverhead object detectionoptical remote sensingchannel attentioncomputer sciencemachine learningremote sensingimage analysisobject detectiondmp-extracted shape featurescomputer vision

Classification of an 8-Band Multi-Spectral Dataset Using Dcnns With Weight Initializations Derived From Pre-Trained Rgb Networks. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2022)

Trevor M. BajkowskiJ. Alex HurtCurt H. DavisGrant J. Scott

earth observation dataearth observationdata classificationweight initializationsmachine learningearth sciencedata scienceremote sensingcomputer visiongeophysical prospectingpre-trained rgb networksimage analysisplanetary sciencesconvolutional neural networksdeep learningterrestrial sensing

Concept Learning Based on Human Interaction and Explainable AI. (2021)

Blake RuprechtDerek T. AndersonFred E. PetryJames M. KellerChris MichaelAndrew BuckGrant J. ScottCurt H. Davis

human-computer interactionexplainable ainatural language processingcomputer sciencemachine learningartificial intelligence

Broad Area Search and Detection of Surface-To-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks.. arXiv (Cornell University) (2020)

Alan B. CannadayCurt H. DavisGrant J. ScottBlake RuprechtDerek T. Anderson

pattern recognitiondeep learningsystems engineeringcomputer sciencemachine learningaerospace engineeringmissilespatial fusionremote sensingcomponent object detectionsinformation fusionfeature detectionsurface-to-air missile sitesdeep neural networksobject detectionbroad area searchcomputer vision

Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. 2022 International Joint Conference on Neural Networks (IJCNN) (2020)

Grant J. ScottJ. Alex HurtAlex YangMuhammad Aminul IslamDerek T. AndersonCurt H. Davis

pattern recognitionoverhead imagerycomputer sciencemachine learningremote sensingmachine visionimage analysisobject detectioncomputer vision

Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery With Enhanced Benchmark Meta-Dataset Training of Nas Neural Networks. 2021 IEEE International Conference on Big Data (Big Data) (2020)

J. Alex HurtDavid HuangalCurt H. DavisGrant J. Scott

deep learningcomputer sciencenas neural networksmachine learningdata scienceremote sensingvisual analyticsmachine-assisted visual analyticscomputer vision

1
2
3
4
5
11
10 / page

Curt Davis

F Robert and Patricia Naka Professor

University of Missouri

Affiliations

College of Engineering

Electrical Engineering and Computer Science

Curt Davis is currently serving as a College Of Engineering F Robert and Patricia Naka Professor at University of Missouri.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Curt Davis

University of Missouri

F Robert and Patricia Naka Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Trevor M. BajkowskiCurt H. DavisGrant J. Scott

satellite signal processingsatellite imagingvaried bit-depthearth observationearth scienceremote sensingdigital image processingspectral bandsdnn object detectionmultispectral imagingdeep learning

Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. Sensors (2023)

J. Alex HurtIlinca PopescuCurt H. DavisGrant J. Scott

broad-area high-resolution imageryoverhead imagerytechnologycomputer visionremote sensingimage analysisanthropogenic object localizationdeep learning

Detection of Camouflage-Covered Military Objects Using High-Resolution Multi-Spectral Satellite Imagery. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023)

Alan B. CannadayCurt H. DavisTrevor M. Bajkowski

pattern recognitionsatellite imagingremote sensingcamouflage-covered military objectsimage analysisplanetary sciencesobject detectionoptical remote sensing

J. Alex HurtCurt H. DavisGrant J. Scott

deep learningcomputer sciencemachine learningconvolutional neural networksremote sensingimage analysisobject detectioncomputer vision

Overhead Object Detection With Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and Dmp-Extracted Shape Features. (2023)

J. Alex HurtTrevor M. BajkowskiCurt H. DavisGrant J. Scott

Trevor M. BajkowskiJ. Alex HurtCurt H. DavisGrant J. Scott

Concept Learning Based on Human Interaction and Explainable AI. (2021)

Blake RuprechtDerek T. AndersonFred E. PetryJames M. KellerChris MichaelAndrew BuckGrant J. ScottCurt H. Davis

human-computer interactionexplainable ainatural language processingcomputer sciencemachine learningartificial intelligence

Broad Area Search and Detection of Surface-To-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks.. arXiv (Cornell University) (2020)

Alan B. CannadayCurt H. DavisGrant J. ScottBlake RuprechtDerek T. Anderson

Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. 2022 International Joint Conference on Neural Networks (IJCNN) (2020)

Grant J. ScottJ. Alex HurtAlex YangMuhammad Aminul IslamDerek T. AndersonCurt H. Davis

pattern recognitionoverhead imagerycomputer sciencemachine learningremote sensingmachine visionimage analysisobject detectioncomputer vision

J. Alex HurtDavid HuangalCurt H. DavisGrant J. Scott

deep learningcomputer sciencenas neural networksmachine learningdata scienceremote sensingvisual analyticsmachine-assisted visual analyticscomputer vision

1
2
3
4
5
11
10 / page

Similar Faculty Members

David Shean

Institution

University of Washington

remote sensing

snow depth

Ute C. Herzfeld

Institution

University of Colorado Boulder

earth science

cryosphere

Carlton Leuschen

Institution

University of Kansas

remote sensing

radar signal processing

John Paden

Institution

University of Kansas

radar image processing

radar signal processing

Albin Gasiewski

Institution

University of Colorado Boulder

earth science

remote sensing

Craig Glennie

Institution

University of Houston

remote sensing

unmanned aerial vehicle

Sayed M. Bateni

Institution

University of Hawaii at Manoa

remote sensing

geocomputation

Ayman Habib

Institution

Purdue University

localization

geovisualization

Beata Csatho

Institution

University at Buffalo

remote sensing

geography

Hans-Peter Marshall

Institution

Boise State University

microwave remote sensing

remote sensing

Similar Faculty Members

David Shean

Institution

University of Washington

remote sensing

snow depth

Ute C. Herzfeld

Institution

University of Colorado Boulder

earth science

cryosphere

Carlton Leuschen

Institution

University of Kansas

remote sensing

radar signal processing

John Paden

Institution

University of Kansas

radar image processing

radar signal processing

Albin Gasiewski

Institution

University of Colorado Boulder

earth science

remote sensing

Craig Glennie

Institution

University of Houston

remote sensing

unmanned aerial vehicle

Sayed M. Bateni

Institution

University of Hawaii at Manoa

remote sensing

geocomputation

Ayman Habib

Institution

Purdue University

localization

geovisualization

Beata Csatho

Institution

University at Buffalo

remote sensing

geography

Hans-Peter Marshall

Institution

Boise State University

microwave remote sensing

remote sensing