Grant J. Scott

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 63

Top Topics

Remote Sensing Imagery

Top Venues

Publications

Mariam Alshehri, Anes Ouadou, Grant J. Scott
Deep Transformer-Based Network Deforestation Detection in the Brazilian Amazon Using Sentinel-2 Imagery. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
J. Alex Hurt, Ilinca M. Popescu, Curt H. Davis, Grant J. Scott
Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. Sensors 23 (18) (2023)
Jeffrey Schulz, Derek T. Anderson, James M. Keller, Grant J. Scott, Robert H. Luke III
Human-in-the-Loop (HITL) Augmented Growing Neural Gas for Labeling Aerial Image Datasets. FUZZ (2023)
J. Alex Hurt, Curt H. Davis, Grant J. Scott
Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery. IGARSS (2023)
Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott
GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. BigData (2023)
Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision. AIPR (2023)
Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models. IGARSS (2023)
Pallavi Gupta, Jamal Saied-Walker, Laurel Despins, David Heise, James Keller, Marjorie Skubic, Ruhan Yi, Grant J. Scott
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. J. Biomed. Informatics 147 (2023)
J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott
Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features. AIPR (2023)
Keli Cheng, Grant J. Scott
Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data. Remote. Sens. 15 (19) (2023)
Butros M. Dahu, Solaiman Khan, Lincoln R. Sheets, Grant J. Scott
Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population. MedInfo (2023)
Trevor M. Bajkowski, Noah Marchal, Jamal Saied-Walker, Pallavi Gupta, James M. Keller, Marjorie Skubic, Grant J. Scott
Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. FUZZ (2023)
Keli Cheng, Grant J. Scott
Evaluation of a Meta-Transfer Approach for Few-Shot Remote Sensing Scene Classification. IGARSS (2023)
Grant J. Scott, Jamal Saied-Walker, Noah Marchal, Hang Yu, Marjorie Skubic
HTIDB: Hierarchical Time-Indexed Database for Efficient Storage and Access to Irregular Time-series Health Sensor Data. EMBC (2022)
Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott
Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
David Huangal, Grant J. Scott, Stanton R. Price
Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery. IGARSS (2022)
Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott
Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. Big Data (2022)
J. Alex Hurt, James Keller, Grant J. Scott
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. IJCNN (2022)
Pallavi Gupta, Laurel Despins, David Heise, Jamal Saied-Walker, Ruhan Yi, Marjorie Skubic, Grant J. Scott
A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. AMIA (2022)
Trevor M. Bajkowski, J. Alex Hurt, Curt H. Davis, Grant J. Scott
Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks. IGARSS (2022)
Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant J. Scott
A Comparison of Relative Position Descriptors for 3D Objects. FUZZ-IEEE (2022)
Keli Cheng, Trevor M. Bajkowski, Grant J. Scott
Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping. AIPR (2021)
Andrew R. Buck, Derek T. Anderson, James M. Keller, Robert H. Luke III, Grant J. Scott
A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes. FUZZ-IEEE (2021)
Brendan Alvey, Derek T. Anderson, Andrew R. Buck, Matthew Deardorff, Grant J. Scott, James M. Keller
Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research. ICCVW (2021)
Rasha Gargees, Grant J. Scott
Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering. Remote. Sens. 13 (9) (2021)
Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery. AIPR (2021)
Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott
Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network. IGARSS (2021)
Pallavi Gupta, Omar Ibrahim, Marjorie Skubic, Grant J. Scott
Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare. EMBC (2021)
Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott
Automatic Maasailand Boma Mapping with Deep Neural Networks. IGARSS (2021)
Bryce J. Murray, Muhammad Aminul Islam, Anthony J. Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, James M. Keller
Explainable AI for the Choquet Integral. IEEE Trans. Emerg. Top. Comput. Intell. 5 (4) (2021)
Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors. AIPR (2020)
Blake Ruprecht, Wenlong Wu, Muhammad Aminul Islam, Derek Anderson, James Keller, Grant J. Scott, Curt H. Davis, Fred Petry, Paul Elmore, Kristen Nock, Elizabeth Gilmour
Possibilistic Clustering Enabled Neuro Fuzzy Logic. FUZZ-IEEE (2020)
Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. CoRR (2020)
Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery. IEEE BigData (2020)
Yulin Cao, Butros M. Dahu, Grant J. Scott
A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery. BigSpatial@SIGSPATIAL (2020)
Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, Derek T. Anderson
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections From Deep Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks. IEEE BigData (2020)
Rasha Gargees, Grant J. Scott
Multi-Stage Distributed Computing for Big Data: Evaluating Connective Topologies. CCWC (2020)
Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller
Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks. IEEE Trans. Fuzzy Syst. 28 (7) (2020)
Rasha Gargees, Grant J. Scott
Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis. IEEE Geosci. Remote. Sens. Lett. 17 (8) (2020)
Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery. IJCNN (2020)
Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features. AIPR (2020)
Alex Yang, Charlie T. Veal, Derek T. Anderson, Grant J. Scott
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. CoRR (2019)
James Alex Hurt, Grant J. Scott, Curt H. Davis
Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles. IGARSS (2019)
Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks. CoRR (2019)
Charlie T. Veal, Alex Yang, J. Alex Hurt, Muhammad Aminul Islam, Derek T. Anderson, Grant J. Scott, James M. Keller, Timothy C. Havens, Bo Tang
Linear Order Statistic Neuron. FUZZ-IEEE (2019)
Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant J. Scott, Mihail Popescu, James Keller
Deep Morphological Hit-or-Miss Transform Neural Network. CoRR (2019)
Alan B. Cannaday, Curt H. Davis, Grant J. Scott
Improved Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks. IGARSS (2019)
Rasha Gargees, Grant J. Scott
Dynamically Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data. IEEE Internet Things J. 6 (1) (2019)
Alex Yang, Grant J. Scott
Efficient Passive Sensing Monocular Relative Depth Estimation. AIPR (2019)
Bryce Murray, Muhammad Aminul Islam, Anthony Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, Fred Petry, Paul Elmore
Transfer Learning for the Choquet Integral. FUZZ-IEEE (2019)
Alan B. Cannaday II, Raymond L. Chastain, James Alex Hurt, Curt H. Davis, Grant J. Scott, Andrew J. Maltenfort
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets. IEEE BigData (2019)
Alex Yang, James Alex Hurt, Charlie T. Veal, Grant J. Scott
Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. IEEE BigData (2019)
James Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. IEEE BigData (2019)
Grant J. Scott, James Alex Hurt, Richard A. Marcum, Derek T. Anderson, Curt H. Davis
Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery. IGARSS (2018)
Grant J. Scott, Kyle C. Hagan, Richard A. Marcum, James Alex Hurt, Derek T. Anderson, Curt H. Davis
Enhanced Fusion of Deep Neural Networks for Classification of Benchmark High-Resolution Image Data Sets. IEEE Geosci. Remote. Sens. Lett. 15 (9) (2018)
Tyler W. Nivin, Grant J. Scott, James Alex Hurt, Raymond L. Chastain, Curt H. Davis
Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset. AIPR (2018)
James Alex Hurt, Grant J. Scott, Derek T. Anderson, Curt H. Davis
Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics. AIPR (2018)
Bryce Murray, Muhammad Aminul Islam, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson, Grant J. Scott
Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. FUZZ-IEEE (2018)
Yinmiao Ma, Danlu Liu, Grant J. Scott, Jeffrey Uhlmann, Chi-Ren Shyu
In-Memory Distributed Indexing for Large-Scale Media Data Retrieval. ISM (2017)
Grant J. Scott, Matthew R. England, William A. Starms, Richard A. Marcum, Curt H. Davis
Training Deep Convolutional Neural Networks for Land-Cover Classification of High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. 14 (4) (2017)
Grant J. Scott, Richard A. Marcum, Curt H. Davis, Tyler W. Nivin
Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. 14 (9) (2017)
Grant J. Scott, Georgi A. Angelov, Michael L. Reinig, Eric C. Gaudiello, Matthew R. England
cvTile: Multilevel parallel geospatial data processing with OpenCV and CUDA. IGARSS (2015)
Stanton R. Price, Derek T. Anderson, Matthew R. England, Grant J. Scott
Soft segmentation weighted IECO descriptors for object recognition in satellite imagery. IGARSS (2015)
Grant J. Scott, Kirk Backus, Derek T. Anderson
A multilevel parallel and scalable single-host GPU cluster framework for large-scale geospatial data processing. IGARSS (2014)
Grant J. Scott, Matthew R. England, Kevin Melkowski, Zachary Fields, Derek T. Anderson
GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching. ICPR (2014)
Matthew N. Klaric, Brian C. Claywell, Grant J. Scott, Nicholas J. Hudson, Ozy Sjahputera, Yonghong Li, Seth T. Barratt, James M. Keller, Curt H. Davis
GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 51 (4-1) (2013)
Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu
Multi-Index Multi-Object Content-Based Retrieval. IEEE Trans. Geosci. Remote. Sens. 50 (10) (2012)
Grant J. Scott, Derek T. Anderson
Importance-weighted multi-scale texture and shape descriptor for object recognition in satellite imagery. IGARSS (2012)
Ozy Sjahputera, Grant J. Scott, Brian C. Claywell, Matthew N. Klaric, Nicholas J. Hudson, James M. Keller, Curt H. Davis
Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm. IEEE Trans. Geosci. Remote. Sens. 49 (12) (2011)
Grant J. Scott, Matthew N. Klaric, Curt H. Davis, Chi-Ren Shyu
Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-Scale Satellite Imagery Databases. IEEE Trans. Geosci. Remote. Sens. 49 (5) (2011)
Grant J. Scott, Derek T. Anderson
Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery. AIPR (2011)
Ozy Sjahputera, Grant J. Scott, Matthew N. Klaric, Brian C. Claywell, Nicholas J. Hudson, James M. Keller, Curt H. Davis
Clustering of detected changes in satellite imagery using fuzzy c-means algorithm. IGARSS (2010)
Matt Klaric, Grant J. Scott, Chi-Ren Shyu
Progressive spatial clustering of content-based satellite imagery retrieval results. IGARSS (2010)
Chi-Ren Shyu, Matthew N. Klaric, Grant J. Scott, Adrian S. Barb, Curt H. Davis, Kannappan Palaniappan
GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries. IEEE Trans. Geosci. Remote. Sens. 45 (4) (2007)
Grant J. Scott, Chi-Ren Shyu
Knowledge-Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007)
Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu
Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval. IGARSS (2006)
Matthew Klaric, Grant J. Scott, Chi-Ren Shyu, Curt H. Davis, Kannappan Palaniappan
A Framework for Geospatial Satellite Imagery Retrieval Systems. IGARSS (2006)
Chi-Ren Shyu, Matthew N. Klaric, Grant J. Scott, Wannapa Kay Mahamaneerat
Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases. IGARSS (2006)
Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu
A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. Int. J. Softw. Eng. Knowl. Eng. 15 (3) (2005)
Matthew N. Klaric, Grant J. Scott, Chi-Ren Shyu, Curt H. Davis
Automated object extraction through simplification of the differential morphological profile for high-resolution satellite imagery. IGARSS (2005)
Grant J. Scott, Matt Klaric, Chi-Ren Shyu
Modeling Multi-object Spatial Relationships for Satellite Image Database Indexing and Retrieval. CIVR (2005)
Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu
A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index. BIBE (2004)
Chi-Ren Shyu, Pin-Hao Chi, Grant J. Scott, Dong Xu
ProteinDBS: a real-time retrieval system for protein structure comparison. Nucleic Acids Res. 32 (Web-Server-Issue) (2004)
Grant J. Scott, Chi-Ren Shyu
EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels. CIVR (2003)
Grant J. Scott, James M. Keller, Marjorie Skubic, Robert H. Luke III
Face recognition for homeland security: a computational intelligence approach. FUZZ-IEEE (2003)