Publications

Dr. Scott's Google Scholar Page

*Mentored Students Underlined

Journal Publications

1. Mariam Alshehri, Anes Ouadou, Grant J. Scott, “Deep Transformer-based Network Deforestation Detection in the Brazilian Amazon Using Sentinel-2 Imagery,” in IEEE Geoscience and Remote Sensing Letters, to be published 2024 

2. Keli Cheng and Grant J. Scott, “Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-temporal Sentinel-2 Data”, in Remote Sensing vol. 15, no. 19:4705, Section AI Remote Sensing, July 2023. DOI: 10.3390/rs15194705

3. 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,” in Journal of Biomedical Informatics, Elsevier. May 2023. DOI: 10.1016/j.jbi.2023.104530

4. J. Alex Hurt, Ilinca Popescu, Curt H. Davis, Grant J. Scott, “Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery,” in Sensors, vol. 23(18), Special Issue on Deep Learning Methods for Aerial Imagery, MDPI, September 2023. DOI: 10.3390/s23187766

5. Butros M.Dahu, Khuder Alaboud, Avis Anya Nowbuth, Hunter M. Puckett, Grant J. Scott, and Lincoln R. Sheets. 2023. "The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review" International Journal of Environmental Research and Public Health 20, no. 5: 4298. DOI 10.3390/ijerph20054298 

6. Solaiman Khan, Butros M. Dahu, Grant J. Scott, “A Spatio-temporal Study of Changes in Air Quality from Pre-COVID Era to Post-COVID Era in Chicago, USA,” in Aerosol and Air Quality Research Journal, special issue on “Air Quality in a Changed World in post COVID-19”, June 2022. DOI 10.4209/aaqr.220053

7. Keli Cheng, Ilinca Popescu, Lincoln Sheets, Grant J. Scott, “Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania,” in  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022. DOI 10.1109/JSTARS.2022.3167373

8. Rasha S. Gargees and Grant J. Scott, "Large-Scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery using Deep Visual Feature Clustering," in Remote Sensing, Vol. 13(9), pp. 1661, 2021. DOI 10.3390/rs13091661 

9. Muhammad A. Islam, B. Murray, A. Buck, D.T. Anderson, Grant J. Scott, M. Popescu, J. Keller, “Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks,” in IEEE Transactions on Neural Networks and Learning Systems, early access, 2020. DOI 10.1109/TNNLS.2020.3025723 

10. Alan B. Cannaday II, Curt H. Davis, Grant J. Scott, Blake Ruprecht, and 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,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 4728-4737, 2020. DOI 10.1109/JSTARS.2020.3015662 

11. Bryce J. Murray, M. A. Islam, A. J. Pinar, D. T. Anderson, Grant J. Scott, T. C. Havens and J. M. Keller, “Explainable AI for the Choquet Integral,” in IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 5, No. 4, pp. 520-529, 2020. DOI 10.1109/TETCI.2020.3005682

12. Rasha Gargees and Grant J. Scott, “Deep Feature Clustering for Remote Sensing Imagery Land Cover Analysis,” in IEEE Geoscience and Remote Sensing Letters, Vol. 17, No. 8, pp. 1386-1390, 2019. DOI 10.1109/LGRS.2019.2948799

13. M.A. Islam, D.T. Anderson, A Pinar, T.C. Havens, Grant J. Scott, J.M Keller, “Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks,” in IEEE Transactions on Fuzzy Systems, Vol. 28, No.7, pp. 1291-1300, 2019. DOI 10.1109/TFUZZ.2019.2917124

14. Rasha Gargees and Grant J. Scott, “Dynamically-Scalable Distributed Virtual Framework Based on Agents and Pub/Sub Pattern for IoT Media Data,” in IEEE Internet of Things Journal, Vol. 6, No. 1, pp. 599-613, 2018. DOI 10.1109/JIOT.2018.2849406

15. Grant J. Scott, K.C. Hagan, J. A. Hurt, R. A. Marcum, D.T. Anderson, C.H. Davis, “Enhanced Fusion of Deep Neural Networks for High-Resolution Benchmark Imagery Classification” in IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 9, pp. 1451-1455, 2018. DOI 10.1109/LGRS.2018.2839092

16. Marcum, R.A.; Davis, C.H.; Nivin, T.W.; Grant J. Scott, “Rapid Broad Area Search and Detection of Surface to Air Missile Sites using Deep Convolutional Neural Networks,” in Journal of Applied Remote Sensing, Vol. 11, No. 4, ONLINE 2017. DOI 10.1117/1.JRS.11.042614

17. Grant J. Scott, Marcum, R. A.; Nivin, T.W.; Davis, C.H., “Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery” in IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 9, pp. 1638-1642, 2017. DOI 10.1109/LGRS.2017.2722988

18. Grant J. Scott, England, M. R.; Starms, W. A.; Marcum, R. A.; Davis, C.H., “Training Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery," in IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 4, pp. 549-553, April 2017. DOI 10.1109/LGRS.2017.2657778

19. Klaric, M.N.; Claywell, B.C.; Grant J. Scott; Hudson, N.J.; Sjahputera, O.; Yonghong Li; Barratt, S.T.; Keller, J.M.; Davis, C.H., "GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery," in IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 4, pp. 2067-2086, 2013. DOI 10.1109/TGRS.2013.2243840

20. Matt Klaric, Grant J. Scott, Chi-Ren Shyu, “Multi-Index Multi-Object Content-Based Retrieval,” in IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No.10, pp. 4036-4049, 2012. DOI 10.1109/TGRS.2012.2187353

21. Sjahputera, O.; Grant J. Scott; Claywell, B.C.; Klaric, M.N.; Hudson, N.J.; Keller, J.M.; Davis, C.H., “Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm,” in IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 12, pp. 4687-4703, 2011. DOI 10.1109/TGRS.2011.2152847

22. Grant J. Scott, Matt Klaric, Chi-Ren Shyu, Curt Davis, “Entropy Balanced Bitmap Tree for Shape-Based Object Retrieval from Large-Scale Satellite Imagery Databases,” in IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 5, pp. 1603-1616, 2011. DOI 10.1109/TGRS.2010.2088404

23. Chi-Ren Shyu, Matt Klaric, Grant J. Scott, Adrian Barb, Curt Davis, and Kannappian Palaniappan, "GeoIRIS: Geospatial Information Retrieval and Indexing System - Content Mining, Semantics Modeling, and Complex Queries," in IEEE Transactions on Geoscience and Remote Sensing, Special Issue on Image Mining, Vol. 45, No.4, pp. 839-852, 2007.  DOI 10.1109/TGRS.2006.890579

24. Grant J. Scott and Chi-Ren Shyu, "Knowledge Driven Multidimensional Indexing Structure for Biomedical Media Database Retrieval," in IEEE Transactions on Information Technology in Biomedicine, Vol. 11, No. 3, pp. 320-331, 2007. DOI 10.1109/TITB.2006.880551

25. Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu, "A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index," in International Journal of Software Engineering and Knowledge Engineering, Special Issue on Software and Knowledge Engineering Support in Bioinformatics, Vol. 15, No. 4, pp. 527-545, 2005. DOI 10.1142/S0218194005002439

26. Chi-Ren Shyu, Pin-Hao Chi, Grant J. Scott, and Dong Xu, "ProteinDBS - A content-based retrieval system for protein structure database," in Nucleic Acids Research, Vol. 32, pp.  W572-W575, 2004. DOI 10.1093/nar/gkh436

Book Chapters

1. Derek Anderson, Grant J. Scott, Muhammad Aminul Islam, Bryce Murray, and Richard Marcum, “Fuzzy Choquet Integration of Deep Convolutional Neural Networks for Remote Sensing,” in Computational Intelligence for Pattern Recognition, pp. 1–28, Springer, Cham. 2018. DOI 10.1007/978-3-319-89629-8_1

Peer-Reviewed Conference Papers

1. Jamal Saied-Walker, Noah Marchal, Pallavi Gupta, Marjorie Skubic, Ruhan Yi, Grant J. Scott, “GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI,” in Proceedings IEEE International Conference on Big Data, Sorrento, Italy, December, 2023.

2. Trevor M. Bajkowski, Noah Marchal, Jamal Saied-Walker, James M. Keller, Pallavi Gupta, Marjorie Skubic, Grant J. Scott, “Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering,” in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Incheon, S. Korea, August, 2023. 

3. Butros M. Dahu, Solaiman Khan, Lincoln R. Sheets, Grant J. Scott, “Exploring the Geospatial Relationship between COVID-19 Testing, Positivity Rates, and Income in Mixed Urban-Rural Population in Boone County, Missouri,” in Proc. of 19th World Congress on Medical and Health Informatics, Sydney, Australia, July, 2023.

4. Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott, “Semantic Segmentation of burned areas in Sentinel-2 satellite images using Deep Learning  models,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, July 2023.

5. Keli Cheng and Grant J. Scott, “Evaluation of a Meta-Transfer Approach for Few-Shot Remote Sensing Scene Classification,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, July 2023.

6. 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,” in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, July 2023.

7. Mariam Alsheri, Anes Ouadou, Grant Scott, “Deforestation Detection in the Brazilian Amazon Using Transformer-based Networks,” in Proceedings of IEEE Conference on AI, Santa Clara, CA, USA, June 2023.

8. Butros Dahu, Solaiman Khan, Wei Syuan Li, Xin Shu, Henok Woldu, Mihail Popescu, Lincoln R. Sheets, Grant J. Scott, “Demographic and Time Trend Analysis of COVID-19 Test Results of Boone County, Missouri,” in Proceedings of American Medical Informatics Association – Summit, March, 2023.

9. 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,” in Proceedings IEEE International Conference on Big Data, Osaka, Japan, Dec. 2022.

10. 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,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.

11. David Huangal, Grant J. Scott, and Stanton R. Price, “Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.

12. Alex Hurt, James Keller, Grant J. Scott, “Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN,” in Proc. of IEEE World Congress on Computational Intelligence, Padua, Italy, July 2022.

13. 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,” in Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, UK, July 2022.

14. Pallavi Gupta, Omar Ibrahim, Marjorie Skubic, Grant J Scott, “Leveraging Unsupervised Machine Learning to Discover Patterns in Linguistic Health Summaries for Eldercare,” in Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, November, 2021. DOI 10.1109/EMBC46164.2021.9630573 

15. Keli Cheng, Trevor M Bajkowski, Grant J Scott, “Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping,” in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR) 2021. DOI 10.1109/AIPR52630.2021.9762131

16. 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,” in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR) 2021. DOI 10.1109/AIPR52630.2021.9762206

17. J. Alex Hurt, Trevor Bajkowski, Grant J. Scott, “Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021. DOI 10.1109/IGARSS47720.2021.9553057

18. Keli Cheng, Ilinca M. Popescu, Lincoln Sheets, Grant J. Scott, “Automatic Maasailand Boma Mapping with Deep Neural Networks,” in Proceedings IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021. DOI 10.1109/IGARSS47720.2021.9553386

19. B. Alvey, D. T. Anderson, A. Buck, M. Deardorff, Grant J. Scott and J. M. Keller, "Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research," in Proc. of 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 3882-3891, DOI 10.1109/ICCVW54120.2021.00435

20. Andrew Buck, Derek Anderson, James Keller, Robert Luke and Grant J. Scott, “A Fuzzy Spatial Relationship Graph for Point Clouds Using Bounding Boxes” in Proceedings IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2021, July 2021. DOI 10.1109/FUZZ45933.2021.9494462

21. 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," in Proceedings IEEE International Conference on Big Data, ONLINE Dec. 2020.

22. Trevor M. Bajkowski, J. Alex Hurt, Grant J. Scott, Curt Davis, "Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery," in Proceedings IEEE International Conference on Big Data, ONLINE Dec. 2020.

23. 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,” in Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, ONLINE Nov. 2020. DOI 10.1145/3423336.3429349

24. Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffery Dale, James M. Keller, Grant J. Scott and Stanton R. Price, "Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors," in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR), ONLINE Oct. 2020.

25. Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, and Stanton R. Price, "Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features," in Proceedings of IEEE Applied Imagery Pattern Recognition Workshop (AIPR), ONLINE Oct. 2020.

26. Grant J. Scott, Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson and Curt H. Davis, “Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery,” in Proc. of IEEE World Congress on Computational Intelligence, July 2020. DOI 10.1109/IJCNN48605.2020.9207387

27. Blake Ruprecht, Wenlong Wu, Muhammad Aminul Islam, Derek Anderson, James Keller, Grant J. Scott, Curt Davis, Fred Petry, Paul Elmore, Kristen Nock, and Elizabeth Gilmour, “Possibilistic Clustering Enabled Neuro Fuzzy Logic,” in Proc. of IEEE World Congress on Computational Intelligence, July 2020. DOI 10.1109/FUZZ48607.2020.9177593

28. Rasha Gargees and Grant J. Scott, “Multi-Stage Distributed Computing for Big Data: Evaluating Connective Topologies,” in Proc. of IEEE Computing and Communication Workshop and Conference, Jan. 2020. DOI 10.1109/CCWC47524.2020.9031227

29. J. Alex Hurt, David Huangal, Curt H. Davis and Grant J. Scott, “A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery,” in Proc. of IEEE International Conference on Big Data, Dec. 2019. DOI 10.1109/BigData47090.2019.9006415

30. Alex Yang, J. Alex Hurt, Charlie T. Veal, Grant J. Scott, “Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features,” in Proc. of IEEE International Conference on Big Data, Dec. 2019. DOI 10.1109/BigData47090.2019.9006120

31. Alan B. Cannaday II, Raymond L. Chastain, J. Alex Hurt, Curt H. Davis, Grant J. Scott, A.J. Maltenfort, “Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets,” in Proc. of IEEE International Conference on Big Data, Dec. 2019. DOI 10.1109/BigData47090.2019.9006502

32. Alex Yang, Grant J. Scott, “Efficient Passive Sensing Monocular Relative Depth Estimation,”

    1. in Proc. of IEEE Applied Imagery and Pattern Recognition Workshop, Oct. 2019. DOI 10.1109/AIPR47015.2019.9174573

33. J.A. Hurt, Grant J. Scott, C.H. Davis “Comparison of Deep Learning Model Performance between Meta-Dataset Training Versus Deep Neural Ensembles,” in Proc. of International Geoscience and Remote Sensing Symposium, July 2019. DOI 10.1109/IGARSS.2019.8898596

34. A.B. Cannaday, C.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,” in Proc. of International Geoscience and Remote Sensing Symposium, July 2019. DOI 10.1109/IGARSS.2019.8898397 

35. B Murray, MA Islam, A Pinar, DT Anderson, Grant J. Scott, TC Havens, F Petry, P Elmore, “Transfer Learning for the Choquet Integral,” in Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 2019. DOI 10.1109/FUZZ-IEEE.2019.8858844

36. C. Veal, Alex Yang, J. Alex Hurt, M.A. Islam, D.T. Anderson, Grant J. Scott, J.M. Keller, T. Havens, B. Tang, “Linear order statistic neuron,” in Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 2019. DOI 10.1109/FUZZ-IEEE.2019.8858802 

37. J. Alex Hurt, Grant J. Scott, Derek Anderson, and Curt Davis, “Benchmark Meta-Dataset of High-Resolution Remote Sensing Imagery for Training Robust Deep Learning Models in Machine-Assisted Visual Analytics,” in Proc. of IEEE Applied Imagery and Pattern Recognition Workshop, Oct. 2018. DOI 10.1109/AIPR.2018.8707433

38. Tyler Nivin, Grant J. Scott, James Hurt, Raymond Chastain, and Curt Davis, “Exploring the Effects of Class-Specific Augmentation and Class Coalescence on Deep Neural Network Performance Using a Novel Road Feature Dataset,” in Proc. of IEEE Applied Imagery and Pattern Recognition Workshop, Oct. 2018. DOI 10.1109/AIPR.2018.8707406

39. Grant J. Scott, J. Alex Hurt, Richard A. Marcum, Derek T. Anderson, and Curt H. Davis “Aggregating Deep Convolutional Neural Network Scans of Broad-Area High-Resolution Remote Sensing Imagery,” in Proc. of International Geoscience and Remote Sensing Symposium, to appear July 2018. DOI 10.1109/IGARSS.2018.8519300

40. Bryce Murray, M. 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,” in Proc. Of World Congress on Computational Intelligence, July 2018. DOI 10.1109/FUZZ-IEEE.2018.8491501

41. Yinmiao Ma, Danlu Liu, Grant J. Scott, Jeffrey Uhlmann, Chi-Ren Shyu, “In-Memory Distributed Indexing for Large-Scale Media Data Retrieval,” in Proc. of IEEE International Symposium on Multimedia (ISM2017), Taichung, Taiwan, December 2017. DOI 10.1109/ISM.2017.38

42. Grant J. Scott, Georgi Angelov, Michael Reinig, Eric Gaudiello, Matthew England, “cvTile: Multilevel parallel geospatial data processing with OpenCV and CUDA,” in Proc. of International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015. DOI 10.1109/IGARSS.2015.7325718

43. Stanton Price, Derek Anderson, Matthew England and Grant J. Scott, “Soft segmentation weighted IECO descriptors for object recognition in satellite imagery,” in Proc. of International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015. DOI 10.1109/IGARSS.2015.7326940

Pre- 2015 

• • Grant J. Scott, Matthew England, Kevin Melkowski, Zachary Fields, and Derek Anderson, “GPU-based PostgreSQL Extensions for Scalable High-throughput Pattern Matching,” in Proc. of International Conference on Pattern Recognition, Stockholm, Sweden, August 2014, IAPR/IEEE. DOI 10.1109/ICPR.2014.329

  • Grant J. Scott, Kirk Backus, and Derek Anderson, “A Multilevel Parallel and Scalable Single-host GPU Cluster Framework for Large-scale Geospatial Data Processing,” in Proc. of International Geoscience and Remote Sensing Symposium, Quebec City, Canada, July 2014. DOI 10.1109/IGARSS.2014.6946974

  • Grant J. Scott, Derek Anderson, “Importance-weighted multi-scale texture and shape descriptor for object recognition in satellite imagery,” in Proc. of International Geoscience and Remote Sensing Symposium, Munich, Germany, July 2012. DOI 10.1109/IGARSS.2012.6351632

  • Grant J. Scott, Derek Anderson, “Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery,” in Applied Imagery and Pattern Recognition Workshop (AIPR), Washington DC, USA, October 2011. DOI 10.1109/AIPR.2011.6176348

  • O. Sjahputera, Grant J. Scott, M.K. Klaric, B.C. Claywell, N.J. Hudson, J.M. Keller, C.H. Davis, “Clustering of detected changes in satellite imagery using fuzzy c-means algorithm,” in Proc. of International Geoscience and Remote Sensing Symposium, Honolulu, HI, July 2010. DOI 10.1109/IGARSS.2010.5652575

  • Matt Klaric, Grant J. Scott, Chi-Ren Shyu, “Progressive spatial clustering of content-based satellite imagery retrieval results,” in Proc. of International Geoscience and Remote Sensing Symposium, Honolulu, HI, July 2010. DOI 10.1109/IGARSS.2010.5651582

  • Chi-Ren Shyu, Matt Klaric, Grant J. Scott, and Wannapa Kay Mahamaneerat, "Knowledge Discovery by Mining Association Rules and Temporal-Spatial Information from Large-Scale Geospatial Image Databases," in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006. 10.1109/IGARSS.2006.9

  • Matt Klaric, Grant J. Scott, Chi-Ren Shyu, Curt Davis, and Kannappan Palaniappan, "A Framework for Geospatial Satellite Imagery Retrieval Systems," in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006. DOI 10.1109/IGARSS.2006.636

  • Matt Klaric, Grant J. Scott, and Chi-Ren Shyu, "Mining Visual Associations from User Feedback for Weighting Multiple Indexes in Geospatial Image Retrieval," in Proc. of International Geoscience and Remote Sensing Symposium, Denver, CO, July/August 2006. DOI 10.1109/IGARSS.2006.10

  • Grant J. Scott, Matt Klaric and Chi-Ren Shyu, "Modeling Multi-Object Spatial Relationships for Satellite Image Database Indexing and Retrieval," Lecture Notes in Computer Science (LNCS), Vol. 3568, pp 247--256, 2005, International Conference on Image and Video Retrieval, (CIVR 2005). DOI 10.1007/11526346_28

  • Matt Klaric, Grant J. Scott, Chi-Ren Shyu and Curt Davis, "Automated Object Extraction through Simplification of the Differential Morphological Profile for High-Resolution Satellite Imagery," in Proceedings of International Geoscience and Remote Sensing Symposium, (IGARSS 2005), Seoul, Korea, July 2005. DOI 10.1109/IGARSS.2005.1525349

  • Chi-Ren Shyu, Grant J. Scott, Matt Klaric, Curt Davis, Kannappan Palaniappan, "Automatic Object Extraction from Full Differential Morphological Profile in Urban Imagery For Efficient Object Indexing and Retrievals," in Proceedings of 3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Tempe, AZ, USA, March 2005. https://www.isprs.org/proceedings/XXXVI/8-W27/shyu.pdf  

  • Pin-Hao Chi, Grant J. Scott, Chi-Ren Shyu, "A Fast Protein Structure Retrieval System Using Image-Based Distance Matrices and Multidimensional Index," in Proc. of the IEEE Fourth Symposium on BioInformatics and BioEngineering, (BIBE 2004). Taichung, Taiwan, July 2004. DOI 10.1109/BIBE.2004.1317387

  • Grant J. Scott, Chi-Ren Shyu, "EBS k-d Tree: An Entropy Balanced Statistical k-d Tree for Image Databases with Ground-Truth Labels," in Proc. of the International Conference of Image and Video Retrieval, (CIVR 2003). DOI 10.1007/3-540-45113-7_46  

  • Grant J. Scott, James M. Keller, Marjorie Skubic, and Robert H. Luke III, “Face Recognition for Homeland Security: A Computational Intelligence Approach,” in Proc. of the IEEE 2003 International Conference on Fuzzy Systems, (FUZZ-IEEE 2003). St. Louis, MO, USA, June 2003. DOI 10.1109/FUZZ.2003.1206613

Other Conference Papers and Publications

1. Blake Ruprecht, Derek T Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis, “Concept learning based on human interaction and explainable AI, in Proc. SPIE Pattern Recognition and Tracking XXXII, ONLINE APRIL 2021,

2. J Alex Hurt, Grant J Scott, David Huangal, Jeffrey Dale, Trevor M Bajkowski, James M Keller, Stanton R Price, “Differential morphological profile neural network for maneuverability hazard detection in unmanned aerial system imagery,” in Proc. SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, ONLINE APRIL 2021, DOI 10.1117/12.2585843

3. Blake Ruprecht, Derek T Anderson, Fred Petry, James Keller, Christopher Michael, Andrew Buck, Grant Scott, Curt Davis, “Concept learning based on human interaction and explainable AI, in Proc. SPIE Pattern Recognition and Tracking XXXII, ONLINE APRIL 2021, DOI 10.1117/12.2587950

4. Brendan Alvey, Derek T Anderson, James M Keller, Andrew Buck, Grant J. Scott, Dominic Ho, Clare Yang, Brad Libbey, “Improving explosive hazard detection with simulated and augmented data for an unmanned aerial system,” in Proc. SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, ONLINE APRIL 2021, DOI 10.1117/12.2586342

5. Andrew Buck, Matthew Deardorff, Derek T Anderson, Timothy Wilkin, James M Keller, Grant J. Scott, Robert H Luke III, Raub Camaioni, “VADER: a hardware and simulation platform for visually aware drone autonomy research,” in Proc. SPIE Unmanned Systems Technology XXIII, ONLINE APRIL 2021, DOI 10.1117/12.2586360

6. Matthew Deardorff, Brendan Alvey, Derek T Anderson, James M Keller, Grant J. Scott, Dominic Ho, Andrew Buck, Clare Yang, Brad Libbey, “Metadata enabled contextual sensor fusion for unmanned aerial system-based explosive hazard detection,” in Proc. SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXVI, ONLINE April 2021, DOI 10.1117/12.2586340

7. Jeffrey Dale, Trevor Bajkowski, J Alex Hurt, David Huangal, Nelson Earle, James Keller, Grant J. Scott, Stanton Price, “Towards an explainable AI adjunct to deep network obstacle detection for multisensor vehicle maneuverability assessment,” in Proc. SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, ONLINE APRIL 2021, DOI 10.1117/12.2585906

8. Trevor Bajkowski, J Alex Hurt, David Huangal, Jeffrey Dale, James Keller, Grant J. Scott, Stanton Price, “Accumulating confidence for deep neural network object detections and semantic segmentations in sequential UAS imagery through spatiotemporal feature correspondences generated from SfM techniques,” in Proc. SPIE Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, ONLINE April 2021  DOI 10.1117/12.2585905

9. Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Grant J. Scott, Robert H Luke III, “Human-in-the-loop extension to stream classification for labeling of low altitude drone imagery,” in Proc. SPIE Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2021, DOI 10.1117/12.2585851

10. David Huangal, Jeffrey Dale, J Alex Hurt, Trevor M Bajkowski, James M Keller, Grant J. Scott, Stanton R Price, “Evaluating deep road segmentation techniques for low-altitude UAS imagery,” in Proc. of SPIE - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, ONLINE, April 2020. DOI 10.1117/12.2557610

11. J Alex Hurt, David Huangal, Jeffrey Dale, Trevor M Bajkowski, James M Keller, Grant J. Scott, Stanton R Price, “Maneuverability hazard detection and localization in low-altitude UAS imagery,” in Proc. of SPIE - Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, ONLINE April 2020. DOI 10.1117/12.2557609

12. Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant J. Scott, Dominic KC Ho, Timothy Wilkin, “Extending deep learning to new classes without retraining,” in Proc. Of SPIE - Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, ONLINE April 2020. DOI 10.1117/12.2558134

13. Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant J. Scott, Dominic Ho, Timothy Wilkin, “Doing more with less: similarity neural nets and metrics for small class imbalanced data sets,” in Proc. Of SPIE - Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, ONLINE April 2020. DOI 10.1117/12.2558092

14. Blake Ruprecht, Charlie Veal, Al Cannaday, Derek T Anderson, Fred Petry, James Keller, Grant J. Scott, Curt Davis, Charles Norsworthy, Kristen Nock, Elizabeth Gilmour, “Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data,” in Proc. Of SPIE - Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, ONLINE April 2020. DOI 10.1117/12.2558094

15. Charlie Veal, Josh Dowdy, Blake Brockner, Derek T. Anderson, John E. Ball, Grant J. Scott, “Generative adversarial networks for ground penetrating radar in hand held explosive hazard detection,” in Proc. Of SPI - Detection and sensing of mines, explosive objects, and obscured targets XXIII, Orlando, FL, USA, 2018. DOI 10.1117/12.2307261

Open Source Libraries, Publicly Available Data Sets, and related online publications

1. Alex Yang, Sam Kreter, Grant Scott, “Indoor Stereo Vision and Depth,” Data Set

https://ieee-dataport.org/open-access/indoor-stereo-vision-and-depth

DOI 10.21227/q3fm-ty16

2. Georgi Angelov, Mathhew England, Grant Scott, “cvTile,” Source Library

https://github.com/scottgs/cvtile

3. Grant Scott, Alex Yang, and Bryce Murray, “Fuzzy Fusion of Decisions from Heterogeneous Deep Machine Learning Models,” Tutorial and Source Library

https://github.com/scottgs/FuzzyFusion_DeepLearning_Tutorial

4. Grant Scott, “Python 3 binding for Fast Library for Approximate Nearest Neighbors,” Source Library https://github.com/scottgs/pyflann